7 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture

Two-Dimensional feature extraction and computation algorithms are described here. Edge detection, region segmentation and texture are covered in later chapters.

7.1 Computation of General Features

Chapter Contents (Back)
Feature Extraction. Fast Algorithms. Parallel Algorithms. Feature Computation.

Thompson, D.W.,
On Growth and Form,
Dover1917. Book about perception of shapes. BibRef 1700

Hubel, D.H., Wiesel, T.,
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex,
Physiol(160), 1962, pp. 106-154. 0907
BibRef

Hubel, D.H., Wiesel, T.,
Receptive fields and functional architecture of monkey striate cortex,
Physiol(195), 1968, pp. 215243. 0907
BibRef

Hubel, D.H., Wiesel, T.,
Functional architecture of macaque monkey visual cortex,
RoyalP(B-198), 1978, pp. 1-59. 0907
BibRef

Levine, M.D.[Martin D.],
Feature Extraction: A Survey,
PIEEE(57), No. 8, August 1969, pp. 1391-1407. BibRef 6908

Nagy, G.,
Feature Extraction on Binary Patterns,
SSC(5), No. 4, October 1969, pp. 273-278. BibRef 6910

Rosenfeld, A.,
Figure Extraction,
AII(136-154). 1969. BibRef 6900

Harris, J.L.[James L.],
Information Extraction from Diffraction Limited Imagery,
PR(2), No. 2, May 1970, pp. 69-70.
Elsevier DOI BibRef 7005

Ledley, R.S.[Robert S.],
Introduction to the special issue on feature extractions,
PR(3), No. 1, April 1971, pp. 1-2.
Elsevier DOI 0309
BibRef

Ledley, R.S.[Robert S.],
Introduction to the special issue on fine particle science,
PR(4), No. 2, May 1972, pp. 145.
Elsevier DOI 0309
BibRef

Suto, Y.[Yasuzo], Hayashi, Y.[Yoshio],
A Study on Picture Feature Extraction and Picture Recognition,
CGIP(6), No. 5, October 1977, pp. 502-510.
Elsevier DOI BibRef 7710

Hayashi, Y., Suto, Y.,
A Feature Extraction Algorithm Based on Local Picture Computation,
SMC(7), 1977, pp. 743-749. BibRef 7700

Granlund, G.H.[Goesta H.],
In Search of a General Picture Processing Operator,
CGIP(8), No. 2, October 1978, pp. 155-173.
Elsevier DOI BibRef 7810
And:
An Architecture of a Picture Processor Using a Parallel General Operator,
ICPR78(xx-yy). The GOP multiprocessor. Changed to Vol 8, was Vol 2. 1978 is Vol 7 or 8, Vol 2 is 1973. BibRef

Granlund, G.H.,
Description of Texture Using the General Operator Approach,
ICPR80(776-779). BibRef 8000

Braccini, C.[Carlo], Marino, G.[Giuseppe],
Fast Geometrical Manipulations of Digital Images,
CGIP(13), No. 2, June 1980, pp. 127-141.
Elsevier DOI BibRef 8006

Stuth, B.H.[Bernhard H.], Ballard, D.H.[Dana H.], and Brown, C.M.[Christopher M.],
Boundary Condition in Multiple Intrinsic Images,
IJCAI83(1068-1072). Intrinsic image computations, combine the computations for several different ones and the boundary condition problems are reduced. BibRef 8300

Ma, J.[Jun], Wu, C.K.[Cheng-Ke], Lu, X.R.[Xin-Ru],
A Fast Shape Descriptor,
CVGIP(34), No. 3, June 1986, pp. 282-291.
Elsevier DOI BibRef 8606

Ross, D.J.[David J.],
Feature extraction technique for use in a pattern recognition system,
US_Patent4,700,400, Oct 13, 1987
WWW Link. Features and shape BibRef 8710

Connelly, S.[Steven], Rosenfeld, A.[Azriel],
A Pyramid Algorithm for Fast Curve Extraction,
CVGIP(49), No. 3, March 1990, pp. 332-345.
Elsevier DOI Pyramid Structure. Multiple level analysis of points to generate connected curves. Applies to many different original sources of data. BibRef 9003

Rosenfeld, A.,
Pyramid Algorithms For Finding Global Structures In Images,
IS(50), 1990, pp. 23-34. BibRef 9000

Lenz, R.[Reiner],
Group invariant pattern recognition,
PR(23), No. 1-2, 1990, pp. 199-217.
Elsevier DOI 0401

See also Group Theoretic Methods in Image Processing. BibRef

Lenz, R.[Reiner],
Siegel Descriptors for Image Processing,
SPLetters(23), No. 5, May 2016, pp. 625-628.
IEEE DOI 1604
Context BibRef

Zyrianov, B.A.,
Method of feature extraction using potential functions,
PR(23), No. 7, 1990, pp. 753-756.
Elsevier DOI 0401
BibRef

Koenderink, J.J., van Doorn, A.J.,
Generic Neighborhood Operators,
PAMI(14), No. 6, June 1992, pp. 597-605.
IEEE DOI Scale Space. A general set of linear operators.
See also Scale and the Differential Structure of Images.
See also Structure of Locally Orderless Images, The.
See also Local Structure of Movement Parallax of the Plane. BibRef 9206

Koenderink, J.J.[Jan J.], van Doorn, A.J.,
Metamerism in Complete Sets of Image Operators,
AIU96(113-129). BibRef 9600

Koenderink, J.J., van Doorn, A.J.,
Receptive Field Assembly Pattern Specificity,
JVCIR(3), 1992, pp. 597-605. BibRef 9200

Cinque, L., Guerra, C., Levialdi, S.,
Computing Shape Description Transforms on a Multiresolution Architecture,
CVGIP(55), No. 3, May 1992, pp. 287-295.
Elsevier DOI BibRef 9205
Earlier:
Optimal parallel computation of the quadtree medial axis transform on a multi-layered architecture,
ICPR90(II: 462-466).
IEEE DOI 9208
Using a pyramid architecture, a medial axis is O(log n), the others are sqrt(n). For Hough:
See also Computing the Hough Transform on a Pyramid Architecture. BibRef

Cheng, Y.Q.[Yong-Qing], Liu, K.[Ke], Yang, J.Y.[Jing-Yu],
A Novel Feature Extraction Method for Image Recognition Based on Similar Discriminant Function (SDF),
PR(26), No. 1, January 1993, pp. 115-125.
Elsevier DOI BibRef 9301

Roth, G.[Gerhard], Levine, M.D.[Martin D.],
Extracting Geometric Primitives,
CVGIP(58), No. 1, July 1993, pp. 1-22.
DOI Link BibRef 9307

Roth, G.[Gerhard], Levine, M.D.[Martin D.],
Geometric Primitive Extraction Using A Genetic Algorithm,
PAMI(16), No. 9, September 1994, pp. 901-905.
IEEE DOI BibRef 9409
Earlier: CVPR92(640-643).
IEEE DOI BibRef
And:
Segmentation of Geometric Signals Using Robust Fitting,
ICPR90(I: 826-831).
IEEE DOI BibRef

Liu, K.[Ke], Cheng, Y.Q.[Yong-Qing], Yang, J.Y.[Jing-Yu],
Algebraic feature extraction for image recognition based on an optimal discriminant criterion,
PR(26), No. 6, June 1993, pp. 903-911.
Elsevier DOI 0401
BibRef

Cinque, L., Lombardi, L.,
Shape-Description and Recognition by a Multiresolution Approach,
IVC(13), No. 8, October 1995, pp. 599-607.
Elsevier DOI
See also Multiresolution Approach for Page Segmentation, A. BibRef 9510

Cinque, L., Lombardi, L., Rosenfeld, A.,
Evaluating Digital Angles by a Parallel Diffusion Process,
PRL(16), No. 10, October 1995, pp. 1097-1104. BibRef 9510
Earlier: Add: Cantoni, V., A1, Add: Levialdi, S., and A2. (Remove A3), CIAP95(133-138).
Springer DOI 9509
BibRef

Lombardi, L.[Luca], Petrosino, A.[Alfredo],
Distributed recursive learning for shape recognition through multiscale trees,
IVC(25), No. 2, February 2007, pp. 240-247.
Elsevier DOI 0701
BibRef
Earlier:
Shape recognition by distributed recursive learning of multiscale trees,
CIAP03(26-30).
IEEE DOI 0310
Multiscale tree representation; Syntactic shape recognition; Fuzzy neural networks; Recursive learning BibRef

Levialdi, S., Cinque, L.,
Shape Description by a Syntactic Pyramidal Approach,
PRAI(10), 1996, pp. 573-585. BibRef 9600

Pitas, I.,
Fast Algorithms for Running Ordering and Max/Min Calculation,
CirSys(36), No. 6, June 1989, pp. 795-804.
IEEE Top Reference. BibRef 8906

Douglas, S.,
Running Max/Min Calculation Using a Pruned Ordered List,
TSP(44), No. 11, November 1996, pp. 2872-2877. BibRef 9611

Douglas, S.C.,
A Family of Normalized LMS Algorithms,
SPLetters(1), No. 3, March 1994, pp. 49-51.
IEEE Top Reference. BibRef 9403

Mao, J.C., Jain, A.K.,
Artificial Neural Networks for Feature-Extraction and Multivariate Data Projection,
TNN(6), No. 2, March 1995, pp. 296-317. BibRef 9503

Xin, K., Lim, K.B., Hong, G.S.,
A Scale-Space Filtering Approach for Visual Feature-Extraction,
PR(28), No. 8, August 1995, pp. 1145-1158.
Elsevier DOI BibRef 9508

Rao, A., Perens, B.,
Fast Linear Transformation For Tiled Images,
IP(5), No. 1, January 1996, pp. 147-150.
IEEE DOI Tiled Images. BibRef 9601

Chuang, E.R.[E-Ren], Sher, D.[David],
X(2) Test for Feature Detection,
PR(26), No. 11, November 1993, pp. 1673-1681.
Elsevier DOI BibRef 9311

Benteftifa, M.H., Kurz, L.,
Feature Detection via Linear Contrast Techniques,
PR(26), No. 10, October 1993, pp. 1487-1497.
Elsevier DOI BibRef 9310

Meisels, A., Hason, O., Hess, H.,
Quantification and Abstraction: Low Level Tokens for Object Extraction,
IVC(9), No. 3, June 1991, pp. 151-159.
Elsevier DOI BibRef 9106

Hu, X.P., Ahuja, N.,
Feature Extraction and Matching as Signal Detection,
PRAI(8), 1994, pp. 1343-1379. BibRef 9400
Earlier: SPIE(1964), 1993, pp. 51-65. BibRef

Levine, S.H., Kreifeldt, J.G., Chuang, M.C.,
Point Pattern Representation Using Imprecise, Incomplete, Nonmetric Information,
SMC(24), 1994, pp. 222-233. BibRef 9400

Levine, S.H., Kreifeldt, J.G.,
Uniquely Representing Point Patterns with Minimal Information,
SMC(24), 1994, pp. 895-900. BibRef 9400

Kovalevsky, V.A.[Vladimir A.],
Topological Foundations of Shape Analysis,
MDSG94(21). BibRef 9400

Gevorkian, D.Z., Astola, J.T., Atourian, S.M.,
Improving Gil-Werman Algorithm for Running Min and Max Filters,
PAMI(19), No. 5, May 1997, pp. 526-529.
IEEE DOI 9705

See also Computing 2-D Min, Median, and Max Filters. BibRef

Shi, H.C., Ritter, G.X., Wilson, J.N.,
A Fast General Algorithm for Extracting Image Features on SIMD Mesh-Connected Computers,
PR(30), No. 7, July 1997, pp. 1205-1211.
Elsevier DOI 9707
BibRef

Mirmehdi, M., Palmer, P.L., Kittler, J.V.,
Genetic Optimization of the Image Feature-Extraction Process,
PRL(18), No. 4, April 1997, pp. 355-365. 9708
BibRef

Robbins, B., Owens, R.,
2D Feature Detection Via Local Energy,
IVC(15), No. 5, May 1997, pp. 353-368.
Elsevier DOI 9706
BibRef

Perona, P.,
Orientation Diffusions,
IP(7), No. 3, March 1998, pp. 457-467.
IEEE DOI 9803
BibRef
Earlier: CVPR97(710-716).
IEEE DOI 9704
Edges, lines, corners. Diffusion techniques. BibRef

Baker, S.[Simon], Nayar, S.K.[Shree K.], Murase, H.[Hiroshi],
Parametric Feature Detection,
IJCV(27), No. 1, March 1998, pp. 27-50.
DOI Link 9805
BibRef
Earlier: DARPA97(1425-1430). BibRef
Earlier: A2, A1, A3: CVPR96(471-477).
IEEE DOI Automatically construct feature detectors for parametric features. Examples on edges and corners -- codes distance to the edge/corner manifold. BibRef

Baker, S.[Simon],
Design and Evaluation of Feature Detectors,
Ph.D.Thesis, September 1998, Department of Computer Science, Columbia University.
PDF File. BibRef 9809

Brailovsky, V.L.,
An Approach to Form Recognition Based on Nonlinear Projections, Search and Optimization,
PRL(18), No. 11-13, November 1997, pp. 1099-1107. 9806
BibRef

Ke, Q.F., Jiang, T.Z., Ma, S.D.,
A TABU Search Method for Geometric Primitive Extraction,
PRL(18), No. 14, December 1997, pp. 1443-1451. 9806
BibRef

Jiang, T.Z., Ma, S.D.,
Geometric Primitive Extraction Using Tabu Search,
ICPR96(II: 266-269).
IEEE DOI 9608
(Chinese Academy of Sciences, PRC) BibRef

Oriat, L., Lantz, E.,
Subpixel Detection of the Center of an Object Using a Spectral Phase Algorithm on the Image,
PR(31), No. 6, June 1998, pp. 761-771.
Elsevier DOI 9806
BibRef

Nandy, D., Ben-Arie, J.,
Generalized Feature Extraction Using Expansion Matching,
IP(8), No. 1, January 1999, pp. 22-32.
IEEE DOI
See also Estimation of 3-D Motion Using Eigen-Normalization and Expansion Matching. BibRef 9901

Nandy, D., Wang, Z., Ben-Arie, J., Rao, K.R., Jojic, N.,
A Generalized Feature Extractor Using Expansion Matching and the Karhunen-Loeve Transform,
ARPA96(969-972). Related to edge detection paper:
See also Optimal Edge-Detection Using Expansion Matching and Restoration. BibRef 9600

Wang, Z., Rao, R., Nandy, D., Ben-Arie, J., Jojic, N.,
A Generalized Expansion Matching Based Feature Extractor,
ICPR96(II: 29-33).
IEEE DOI 9608
(Illinois Institute of Technology, USA) BibRef

Wang, Z., Ben-Arie, J.,
On the Use of the Karhunen-Loeve Transform and Expansion Matching for Generalized Feature Detection,
ICASSP96(XX) EECS Dept. (M/C) 154. Univ. of Illinois at Chicago. BibRef 9600

Watson, G.H.[Graham H.], Gilholm, K.[Kevin],
Signal and image feature extraction from local maxima of generalised correlation,
PR(31), No. 11, November 1998, pp. 1733-1745.
Elsevier DOI BibRef 9811

Glendinning, R.H.,
Auto-regressive shape classifiers in time varying noise,
PR(26), No. 2, February 1993, pp. 325-331.
Elsevier DOI 0401
BibRef

Glendinning, R.H.,
Signal plus noise models in shape classification,
PR(27), No. 6, June 1994, pp. 777-784.
Elsevier DOI 0401
BibRef

Glendinning, R.H.,
Robust shape classification,
SP(77), No. 2, 1 September 1999, pp. 121-138. BibRef 9909

de Ves, E.[Esther], Díaz, M.E., Ayala, G.[Guillermo], Domingo, J., Simó, A.,
Robust Descriptors of Binary Shapes with Applications,
IJCV(34), No. 1, September-October 1999, pp. 5-17.
DOI Link BibRef 9909

Simó, A.[Amelia], de Ves, E.[Esther], Ayala, G.[Guillermo],
Resuming Shapes with Applications,
JMIV(20), No. 3, May 2004, pp. 209-222.
DOI Link 0409
Generate an average shape based on several shapes. Apply to Fundus images and denoising. BibRef

Shroff, H., Ben-Arie, J.,
Finding Shape Axes Using Magnetic Fields,
IP(8), No. 10, October 1999, pp. 1388-1394.
IEEE DOI BibRef 9910

Kovesi, P.[Peter],
Image Features from Phase Congruency,
Videre(1), No. 3, Summer 1999, pp. xx-yy. BibRef 9900

Kovesi, P.[Peter],
Phase is an Important Low-Level Image Invariant,
PSIVT07(4).
Springer DOI 0712
BibRef

Roberts, S.J.,
Novelty detection using extreme value statistics,
VISP(146), No. 3, 1999, pp. 124. BibRef 9900

Lee, H.J.[Hyoung-Joo], Roberts, S.J.[Stephen J.],
On-line novelty detection using the Kalman filter and extreme value theory,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Samarasooriya, V.N.S., Varshney, P.K.,
Decentralized Signal-Detection with Fuzzy Information,
OptEng(36), No. 3, March 1997, pp. 658-668. 9704
BibRef

Lacroix, V., Acheroy, M.,
Feature-Extraction Using the Constrained Gradient,
PandRS(53), No. 2, April 1998, pp. 85-94. 9805
BibRef

He, C., Moura, J.M.F.,
Focused Detection via Multiresolution Analysis,
TSP(46), No. 4, April 1998, pp. 1094-1104. 9804
BibRef

Diaz, M.E., Domingo, J., Ayala, G.,
A Gray-Level 2D Feature Detector Using Circular Statistics,
PRL(18), No. 11-13, November 1997, pp. 1083-1089. 9806
BibRef

Jin, J.S., Gao, Y.,
Recursive Implementation of LoG Filtering,
RealTimeImg(3), No. 1, February 1997, pp. 59-65. 9703
BibRef

Gao, J., Jin, J.S.,
Fast LoG Filtering Using Recursive Filters,
SCV95(133-138).
IEEE DOI University of New South Wales. Recursive convolution and a fast zero-crossing algorithm. BibRef 9500

Carpenter, G.A.[Gail A.], Grossberg, S.[Stephen], Lesher, G.W.[Gregory W.],
The What-and-Where Filter,
CVIU(69), No. 1, January 1998, pp. 1-22.
DOI Link BibRef 9801

Carpenter, G.A.[Gail A.], Grossberg, S.[Stephen],
Pattern recognition system,
US_Patent5,142,590, Aug 25, 1992
WWW Link. BibRef 9208

Ferraro, M.[Mario], Boccignone, G.[Giuseppe], Caelli, T.M.[Terry M.],
On the Representation of Image Structures via Scale Space Entropy Conditions,
PAMI(21), No. 11, November 1999, pp. 1199-1203.
IEEE DOI 9912
BibRef
Earlier:
On the Representation of Visual Information,
VF01(176 ff.).
Springer DOI 0209
Features correspond to entropy rich areas of the image.
See also Encoding Visual Information Using Anisotropic Transformations. BibRef

Ohm, J.R.[Jens-Rainer],
A set of visual feature descriptors and their combination in a low-level description scheme,
SP:IC(16), No. 1-2, September 2000, pp. 157-179.
Elsevier DOI 0008
BibRef

Bulla, C., Ohm, J.R.[Jens-Rainer],
Coordinate selection for affine invariant feature description,
ICIP16(315-319)
IEEE DOI 1610
Complexity theory BibRef

Batra, P.,
Modeling and Efficient Optimization for Object-Based Scalability and Some Related Problems,
IP(9), No. 10, October 2000, pp. 1677-1692.
IEEE DOI 0010
BibRef

Flusser, J.,
Refined Moment Calculation Using Image Block Representation,
IP(9), No. 11, November 2000, pp. 1977-1978.
IEEE DOI 0011
BibRef

Werman, M.[Michael], Keren, D.[Daniel],
A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data,
PAMI(23), No. 5, May 2001, pp. 528-534.
IEEE DOI 0105
Circles. Line Segments. BibRef
Earlier:
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data,
CVPR99(II: 552-558).
IEEE DOI Fit a model to data. Consider each point of the model as a possible source for the data point. Examples for fitting segments (as opposed to lines), curves, etc.
See also Full Bayesian Approach to Curve and Surface Reconstruction, A. BibRef

Stein, A., Werman, M.,
Robust statistics in shape fitting,
CVPR92(540-546).
IEEE DOI 0403
BibRef

Perez Jimenez, A.J.[Alberto J.], Perez Cortes, J.C.[Juan C.],
Genetic algorithms for linear feature extraction,
PRL(27), No. 13, 1 October 2006, pp. 1508-1514.
Elsevier DOI 0606
BibRef
Earlier:
Radial projections for non-linear feature extraction,
ICPR02(II: 444-447).
IEEE DOI 0211
Statistic pattern recognition; Feature extraction; Genetic algorithms BibRef

Pennec, X.[Xavier],
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements,
JMIV(25), No. 1, July 2006, pp. 127-154.
Springer DOI 0610
Tools to deal with noise in feature computation. BibRef

Riesenhuber, M.[Maximilian], Poggio, T.[Tomaso],
Hierarchical models of object recognition in cortex,
Nature:Neuroscience(2), No. 11, November 1999, 1019-1025.
PDF File. BibRef 9911

Riesenhuber, M.[Maximilian], Poggio, T.[Tomaso],
Models of Object Recognition,
Nature:Neuroscience(3), No. 11, 2000, 1199-1204.
HTML Version. BibRef 0001

Riesenhuber, M.[Maximilian], Poggio, T.[Tomaso],
Computational Models of Object Recognition in Cortex: A Review,
MIT AI Memo-1695, August 7, 2000.
WWW Link. 0105
BibRef

Serre, T.[Thomas], Wolf, L.B.[Lior B.], Bileschi, S.M., Riesenhuber, M., Poggio, T.[Tomaso],
Robust Object Recognition with Cortex-Like Mechanisms,
PAMI(29), No. 3, March 2007, pp. 411-426.
IEEE DOI 0702
BibRef
Earlier: A1, A2, A5, Only:
Object Recognition with Features Inspired by Visual Cortex,
CVPR05(II: 994-1000).
IEEE DOI 0507
Build representation by alternating between template and a maximum pooling operation. Both shape and texture. Learns from a few examples.
See also On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision.
See also Hierarchical models of object recognition in cortex. BibRef

CVonline: Geometric Feature Extraction Methods,
CV-OnlineJuly 2001.
HTML Version. Survey, Feature Extraction. BibRef 0107

Duan, C., Meng, X., Tu, C., Yang, C.,
How to make local image features more efficient and distinctive,
IET-CV(2), No. 3, September 2008, pp. 178-189.
DOI Link 0905
BibRef

Huckemann, S.[Stephan], Hotz, T.[Thomas], Munk, A.[Axel],
Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes,
PAMI(32), No. 4, April 2010, pp. 593-603.
IEEE DOI 1003
multifactorial model for planar shapes. BibRef

Huckemann, S.[Stephan], Hotz, T.[Thomas],
On Means and Their Asymptotics: Circles and Shape Spaces,
JMIV(50), No. 1-2, September 2014, pp. 98-106.
WWW Link. 1408
BibRef

Bayro-Corrochano, E.[Eduardo],
Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action,
Springer-Verlag2010.I ISBN: 978-1-84882-928-2
WWW Link. Survey, Feature Computation. Buy this book: Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action Various features, geometric computing, FFT, wavelets, graphics. BibRef 1000

Zhu, S.C.[Song-Chun], Shi, K.[Kent], Si, Z.Z.[Zhang-Zhang],
Learning explicit and implicit visual manifolds by information projection,
PRL(31), No. 8, 1 June 2010, pp. 667-685.
Elsevier DOI 1004
Texture; Texton; Image Manifold; Primal sketch; Visual learning; Information projection
See also Learning Hybrid Image Templates (HIT) by Information Projection.
See also Learning AND-OR Templates for Object Recognition and Detection. BibRef

Shi, K.[Kent], Zhu, S.C.[Song-Chun],
Mapping Natural Image Patches by Explicit and Implicit Manifolds,
CVPR07(1-7).
IEEE DOI 0706
Explicit: edges, bars, corners, junctions. Implicit: textures. BibRef

Silva, A.G.[Alexandre Goncalves], de Alencar Lotufo, R.[Roberto],
Efficient computation of new extinction values from extended component tree,
PRL(31), No. 1, January 2010, pp. 79-90.
Elsevier DOI 1011
Component tree; Dynamics; Extinction values; Max-tree Interpret gray-scale image as surface -- valleys, plateaus, etc. extinction values from image extremes. BibRef

Silva, A.G.[Alexandre Gongalves],
Region-based thresholding using component tree,
ICIP11(1445-1448).
IEEE DOI 1201
BibRef

Wang, K.[Ke], Xiao, P.F.[Peng-Feng], Feng, X.Z.[Xue-Zhi], Wu, G.P.[Gui-Ping],
Image feature detection from phase congruency based on two-dimensional Hilbert transform,
PRL(32), No. 15, 1 November 2011, pp. 2015-2024.
Elsevier DOI 1112
Phase congruency; Hilbert transform; Local energy; Feature detection BibRef

Bostanci, E., Kanwal, N.[Nadia], Clark, A.F.[Adrian F.],
Spatial Statistics of Image Features for Performance Comparison,
IP(23), No. 1, January 2014, pp. 153-162.
IEEE DOI 1402
feature extraction BibRef

Kanwal, N.[Nadia], Bostanci, E., Clark, A.F.[Adrian F.],
Matching corners using the informative arc,
IET-CV(8), No. 3, June 2014, pp. 245-253.
DOI Link 1407
BibRef

Fan, B., Kong, Q., Trzcinski, T., Wang, Z., Pan, C., Fua, P.,
Receptive Fields Selection for Binary Feature Description,
IP(23), No. 6, June 2014, pp. 2583-2595.
IEEE DOI 1406
Accuracy BibRef

Fan, B., Kong, Q., Sui, W., Wang, Z., Wang, X., Xiang, S., Pan, C., Fua, P.,
Do We Need Binary Features for 3D Reconstruction?,
Robust16(1126-1135)
IEEE DOI 1612
BibRef

Han, Y.H.[Ya-Hong], Yang, Y.[Yi], Ma, Z.G., Shen, H., Sebe, N., Zhou, X.,
Image Attribute Adaptation,
MultMed(16), No. 4, June 2014, pp. 1115-1126.
IEEE DOI 1407
Between image features and objects. Feature transfer (akin to transfer learning). BibRef

Meng, X.L.[Xiang-Lin], Wang, Z.Z.[Zheng-Zhi], Wu, L.Z.[Li-Zhen],
Building global image features for scene recognition,
PR(45), No. 1, 2012, pp. 373-380.
Elsevier DOI 1410
Scene recognition BibRef

Shen, I.C., Cheng, W.H.,
Gestalt Rule Feature Points,
MultMed(17), No. 4, April 2015, pp. 526-537.
IEEE DOI 1503
Computational modeling. Features that are repeatable across styles (image, painting, sketch). BibRef

Perina, A.[Alessandro], Jojic, N.[Nebojsa],
Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features,
PAMI(37), No. 12, December 2015, pp. 2374-2387.
IEEE DOI 1512
BibRef
Earlier:
Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid,
CVPR13(500-507)
IEEE DOI 1309
image representation. Bag of Words BibRef

Perina, A.[Alessandro], Cristani, M.[Marco], Murino, V.[Vittorio], Jojic, N.[Nebojsa],
Capturing Video Structure with Mixture of Probabilistic Index Maps,
MLMotion08(xx-yy). 0810
BibRef

Jojic, N., Caspi, Y.[Yaron],
Capturing Image Structure with Probabilistic Index Maps,
CVPR04(I: 212-219).
IEEE DOI 0408
BibRef

Petrovic, N.[Nemanja], Ivanovic, A.[Aleksandar], Jojic, N.[Nebojsa],
Recursive estimation of generative models of video,
CVPR06(I: 79-86).
IEEE DOI 0606
BibRef

Jojic, N.[Nebojsa], Petrovic, N.[Nemanja], Huang, T.S.,
Scene generative models for adaptive video fast forward,
ICIP03(II: 619-622).
IEEE DOI 0312
BibRef

Bai, S.[Song], Bai, X.[Xiang], Liu, W.,
Multiple Stage Residual Model for Image Classification and Vector Compression,
MultMed(18), No. 7, July 2016, pp. 1351-1362.
IEEE DOI 1608
data compression BibRef

Bai, S.[Song], Wang, X.G.[Xing-Gang], Yao, C.[Cong], Bai, X.[Xiang],
Multiple Stage Residual Model for Accurate Image Classification,
ACCV14(I: 430-445).
Springer DOI 1504
encoding local features. BibRef

Liang, L.M.[Lu-Ming], Wei, M.Q.[Ming-Qiang], Szymczak, A.[Andrzej], Pang, W.M.[Wai-Man], Wang, M.[Meng],
Spin Contour,
MultMed(18), No. 11, November 2016, pp. 2282-2292.
IEEE DOI 1609
feature extraction. Spin Images. BibRef

Ding, S.H.[Shou-Hong], Sheng, B.[Bin], Xie, Z.F.[Zhi-Feng], Ma, L.Z.[Li-Zhuang],
Intrinsic image estimation using near- L0 sparse optimization,
VC(33), No. 3, March 2017, pp. 355-369.
WWW Link. 1702
BibRef

Syed, S.A.[Sohaib Ali], Iqbal, M.Z.[Muhammad Zafar], Riaz, M.M.[Muhammad Mohsin],
Describing contrast across scales,
PandRS(128), No. 1, 2017, pp. 326-337.
Elsevier DOI 1706
Image descriptor. Using contrast as a feature. BibRef

Rahman, I.M.H.[Ibrahim M.H.], Hollitt, C.[Christopher], Zhang, M.J.[Meng-Jie],
Feature Map Quality Score Estimation Through Regression,
IP(27), No. 4, April 2018, pp. 1793-1808.
IEEE DOI 1802
cartography, feature extraction, image segmentation, learning (artificial intelligence), visual attention BibRef

Malu, G., Elizabeth, S.[Sherly], Koshy, S.M.[Sumod Mathew],
Circular mesh-based shape and margin descriptor for object detection,
PR(84), 2018, pp. 97-111.
Elsevier DOI 1809
Shape descriptor, Structural and global descriptor, Circular mesh-based shape and margin descriptor, Dynamic contrast enhanced magnetic resonance imaging BibRef

Pang, S.M.[Shan-Min], Xue, J.R.[Jian-Ru], Zhu, J.H.[Ji-Hua], Zhu, L.[Li], Tian, Q.[Qi],
Unifying Sum and Weighted Aggregations for Efficient Yet Effective Image Representation Computation,
IP(28), No. 2, February 2019, pp. 841-852.
IEEE DOI 1811
Feature extraction, Image representation, Image retrieval, Visualization, Standards, Task analysis, Encoding, Aggregation, image search BibRef

Klettner, S.[Silvia],
Why Shape Matters: On the Inherent Qualities of Geometric Shapes for Cartographic Representations,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Georgiou, T.[Theodoros], Liu, Y.[Yu], Chen, W.[Wei], Lew, M.[Michael],
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision,
MultInfoRetr(9), No. 3, September 2020, pp. 135-170.
Springer DOI 2008
Survey, Descriptions. BibRef

Baranska, A.[Anna], Bac-Bronowicz, J.[Joanna], Dejniak, D.[Dorota], Lewinski, S.[Stanislaw], Krawczyk, A.[Artur], Chrobak, T.[Tadeusz],
A Unified Methodology for the Generalisation of the Geometry of Features,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zhang, J.[Jian], Cao, Y.Y.[Yun-Yin], Wu, Q.[Qun],
Vector of Locally and Adaptively Aggregated Descriptors for Image Feature Representation,
PR(116), 2021, pp. 107952.
Elsevier DOI 2106
VLAD, Deep learning, Weighting scheme, Gating scheme, Feature representation BibRef

Verbin, D.[Dor], Gortler, S.J.[Steven J.], Zickler, T.E.[Todd E.],
Unique Geometry and Texture From Corresponding Image Patches,
PAMI(43), No. 12, December 2021, pp. 4519-4522.
IEEE DOI 2112
Motion segmentation, Solid modeling, Transmission line matrix methods, Surface texture, structure from motion BibRef

Chakrabarti, A.[Ayan], Xiong, Y.[Ying], Gortler, S.J.[Steven J.], Zickler, T.E.[Todd E.],
Low-level vision by consensus in a spatial hierarchy of regions,
CVPR15(4009-4017)
IEEE DOI 1510
BibRef

Yu, X.H.[Xiao-Han], Gao, Y.S.[Yong-Sheng], Bennamoun, M.[Mohammed], Xiong, S.W.[Sheng-Wu],
A Lie algebra representation for efficient 2D shape classification,
PR(134), 2023, pp. 109078.
Elsevier DOI 2212
Lie algebra, 2D Shape classification, Covariance matrix, Lie group of SPD matrix BibRef

Lin, C.[Chenran], Lui, L.M.[Lok Ming],
Harmonic Beltrami Signature: A Novel 2D Shape Representation for Object Classification,
SIIMS(15), No. 4, 2022, pp. 1851-1893.
DOI Link 2212
BibRef

Pire, T.[Taihú], Gonzalez, H.[Hernán], Santano, E.[Emiliano], Terissi, L.[Lucas], Civera, J.[Javier],
An experimental evaluation of feature detectors and descriptors for visual SLAM,
IJCVR(13), No. 3, 2023, pp. 316-341.
DOI Link 2305
BibRef

Hayashi, K.[Kazuki], Tanaka, D.[Daisuke],
Effectiveness of Feature Extraction System for Multimodal Sensor Information Based on VRAE and Its Application to Object Recognition,
IEICE(E106-D), No. 5, May 2023, pp. 833-835.
WWW Link. 2305
BibRef

Gimeno i Garcia, V.[Vicent], Gual-Arnau, X.[Ximo], Ibáńez, M.V.[M. Victoria], Simó, A.[Amelia],
A Gaussian kernel for Kendall's space of m-D shapes,
PR(144), 2023, pp. 109887.
Elsevier DOI 2310
Riemannian manifold, Kendall shape space, Embedding, Reproducible Kernel Hilbert Space BibRef

Liu, A.A.[An-An], Zhou, H.Y.[He-Yu], Li, X.Y.[Xuan-Ya], Wang, L.J.[Lan-Jun],
Vulnerability of Feature Extractors in 2D Image-Based 3D Object Retrieval,
MultMed(25), 2023, pp. 5065-5076.
IEEE DOI 2311
BibRef

Liu, R.S.[Ri-Sheng], Liu, Z.[Zhu], Mu, P.[Pan], Fan, X.[Xin], Luo, Z.X.[Zhong-Xuan],
Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision,
IP(32), 2023, pp. 6075-6089.
IEEE DOI 2311
BibRef

Rao, Y.[Yuan], Ju, Y.K.[Ya-Kun], Li, C.[Cong], Rigall, E.[Eric], Yang, J.[Jian], Fan, H.[Hao], Dong, J.Y.[Jun-Yu],
Learning General Descriptors for Image Matching With Regression Feedback,
CirSysVideo(33), No. 11, November 2023, pp. 6693-6707.
IEEE DOI 2311
BibRef

Chen, B.[Bilian], Guan, J.W.[Jie-Wen], Li, Z.N.[Zhe-Ning], Zhou, Z.H.[Zhe-Hao],
Robust Feature Extraction via L_inf-Norm Based Nonnegative Tucker Decomposition,
CirSysVideo(33), No. 12, December 2023, pp. 7144-7155.
IEEE DOI 2312
Efficently in video. BibRef


Neuhaus, Y.[Yannic], Augustin, M.[Maximilian], Boreiko, V.[Valentyn], Hein, M.[Matthias],
Spurious Features Everywhere: Large-Scale Detection of Harmful Spurious Features in ImageNet,
ICCV23(20178-20189)
IEEE DOI Code:
WWW Link. 2401
BibRef

Yang, Z.B.[Zhi-Bo], Long, R.[Rujiao], Wang, P.F.[Peng-Fei], Song, S.[Sibo], Zhong, H.[Humen], Cheng, W.Q.[Wen-Qing], Bai, X.[Xiang], Yao, C.[Cong],
Modeling Entities as Semantic Points for Visual Information Extraction in the Wild,
CVPR23(15358-15367)
IEEE DOI 2309

WWW Link. Visual Information Extraction BibRef

Feng, R.[Ruoyu], Jin, X.[Xin], Guo, Z.Y.[Zong-Yu], Feng, R.[Runsen], Gao, Y.X.[Yi-Xin], He, T.Y.[Tian-Yu], Zhang, Z.Z.[Zhi-Zheng], Sun, S.[Simeng], Chen, Z.B.[Zhi-Bo],
Image Coding for Machines with Omnipotent Feature Learning,
ECCV22(XXXVII:510-528).
Springer DOI 2211
Compress for task analysis, not human use. BibRef

Kim, J.M.[Jae Myung], Choe, J.[Junsuk], Akata, Z.[Zeynep], Oh, S.J.[Seong Joon],
Keep CALM and Improve Visual Feature Attribution,
ICCV21(8330-8340)
IEEE DOI 2203

WWW Link. Class Activation Latent Mapping. Training, Location awareness, Visualization, Codes, Computational modeling, Probabilistic logic, Recognition and classification BibRef

Zheng, Z.L.[Zi-Long], Xie, J.W.[Jian-Wen], Li, P.[Ping],
Patchwise Generative ConvNet: Training Energy-Based Models from a Single Natural Image for Internal Learning,
CVPR21(2960-2969)
IEEE DOI 2111
Training, Image recognition, Image synthesis, Computational modeling, Superresolution, Training data, Statistical distributions BibRef

Gurevich, I.[Igor], Yashina, V.[Vera],
Basic Models of Descriptive Image Analysis,
IMTA20(275-288).
Springer DOI 2103
BibRef

Guo, X.Y.[Xiao-Yang], Srivastava, A.[Anuj],
Representations, Metrics and Statistics for Shape Analysis of Elastic Graphs,
Diff-CVML20(3629-3638)
IEEE DOI 2008
For very different shapes. Shape, Measurement, Space vehicles, Feature extraction, Junctions, Topology, Tools BibRef

Misra, I.[Ishan], van der Maaten, L.[Laurens],
Self-Supervised Learning of Pretext-Invariant Representations,
CVPR20(6706-6716)
IEEE DOI 2008
Task analysis, Image representation, Semantics, Feature extraction, Visualization, Transforms, Training BibRef

Holliday, A., Dudek, G.,
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation,
CRV20(78-84)
IEEE DOI 2006
BibRef

Genova, K., Cole, F., Vlasic, D., Sarna, A., Freeman, W., Funkhouser, T.,
Learning Shape Templates With Structured Implicit Functions,
ICCV19(7153-7163)
IEEE DOI 2004
computational geometry, image colour analysis, image representation, image segmentation, Computer architecture BibRef

Ebel, P., Trulls, E., Yi, K.M., Fua, P., Mishchuk, A.,
Beyond Cartesian Representations for Local Descriptors,
ICCV19(253-262)
IEEE DOI 2004
feature extraction, image matching, image representation, learning (artificial intelligence), object detection, Measurement BibRef

Souri, Y.[Yaser], Noury, E.[Erfan], Adeli, E.[Ehsan],
Deep Relative Attributes,
ACCV16(V: 118-133).
Springer DOI 1704
BibRef

Girdhar, R.[Rohit], Fouhey, D.F.[David F.], Rodriguez, M.[Mikel], Gupta, A.[Abhinav],
Learning a Predictable and Generative Vector Representation for Objects,
ECCV16(VI: 484-499).
Springer DOI 1611
BibRef

Toussaint, G.T.[Godfried T.], Onea, N.S.[Noris S.], Vuong, Q.H.[Quan H.],
Measuring the complexity of two-dimensional binary patterns: Sub-symmetries versus Papentin complexity,
MVA15(480-483)
IEEE DOI 1507
Complexity theory BibRef

Hadji, I.[Isma], de Souza, G.N.[Guilherme N.],
Local-to-Global Signature Descriptor for 3D Object Recognition,
RoLoD14(570-584).
Springer DOI 1504
surface point classification together with signature-based features BibRef

Liang, K.M.[Kong-Ming], Chang, H.[Hong], Cui, Z.[Zhen], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Representation Learning with Smooth Autoencoder,
ACCV14(II: 72-86).
Springer DOI 1504
BibRef

Xu, C.[Can], Vasconcelos, N.M.[Nuno M.],
Learning Receptive Fields for Pooling from Tensors of Feature Response,
CVPR14(835-842)
IEEE DOI 1409
image classifcation; receptive fields; tensor BibRef

Gutmann, M.U.[Michael U.], Hyvarinen, A.[Aapo],
Learning a selectivity-invariance-selectivity feature extraction architecture for images,
ICPR12(918-921).
WWW Link. 1302
What to select and what to be invariant to. BibRef

Maier, A.[Andreas],
Accelerated Centre-of-Gravity Calculation for Massive Numbers of Image Patches,
ISVC12(I: 566-574).
Springer DOI 1209
BibRef

Dragon, R.[Ralf], Shoaib, M.[Muhammad], Rosenhahn, B.[Bodo], Ostermann, J.[Joern],
NF-Features: No-Feature-Features for Representing Non-textured Regions,
ECCV10(II: 128-141).
Springer DOI 1009
Regions with no interest points. For matching and alignment.
See also HALF-SIFT: High-Accurate Localized Features for SIFT. BibRef

Knauer, U.,
Fast Computation of Region Homogeneity with Application in a Surveillance Task,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Gao, C.X.[Chang-Xin],
Evaluating the measurement scales of semantic features for remote sensing images retrieval,
CGC10(50).
PDF File. 1006
BibRef

Pires, B.R.[Bernardo Rodrigues], Moura, J.M.F.[Jose M.F.],
Shapes as empirical distributions,
ICIP09(401-404).
IEEE DOI 0911
BibRef

Matsakis, P.[Pascal],
Affine properties of the relative position PHI-descriptor,
ICPR16(1941-1946)
IEEE DOI 1705
Computational modeling, Computer science, Image color analysis, Marine vehicles, Pattern recognition, Shape, Visualization, affine transformation, invariance, relative position, spatial relationship, visual, descriptor BibRef

Matsakis, P.[Pascal], Ni, J.B.[Jing-Bo], Veltman, M.[Melanie],
Directional relationships to a reference object: A quantitative approach based on force fields,
ICIP09(321-324).
IEEE DOI 0911
Image value based on degree it satisfies a relationship to an object. BibRef

Zemcík, P.[Pavel], Hradiš, M.[Michal], Herout, A.[Adam],
Exploiting Neighbors for Faster Scanning Window Detection in Images,
ACIVS10(II: 215-226).
Springer DOI 1012
BibRef

Herout, A.[Adam], Zemcik, P.[Pavel], Juranek, R.[Roman], Hradis, M.[Michal],
Implementation of the 'Local Rank Differences' Image Feature Using SIMD Instructions of CPU,
ICCVGIP08(450-457).
IEEE DOI 0812
BibRef

Polok, L.[Lukáš], Herout, A.[Adam], Zemcík, P.[Pavel], Hradiš, M.[Michal], Juránek, R.[Roman], Jošth, R.[Radovan],
'Local Rank Differences' Image Feature Implemented on GPU,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Labelle, G.[Gilbert], Lacasse, A.[Annie],
Discrete Versions of Stokes' Theorem Based on Families of Weights on Hypercubes,
DGCI09(229-239).
Springer DOI 0909
BibRef

Brlek, S.[Srecko], Labelle, G.[Gilbert], Lacasse, A.[Annie],
On Minimal Moment of Inertia Polyominoes,
DGCI08(xx-yy).
Springer DOI 0804
BibRef

Rosten, E.[Edward], Cox, S.[Susan],
Accurate Extraction of Reciprocal Space Information from Transmission Electron Microscopy Images,
ISVC06(I: 373-382).
Springer DOI 0611
methods which can be used to extract the position of features in diffraction patterns. BibRef

Kokiopoulou, E.[Effrosyni], Frossard, P.,
Pattern Detection by Distributed Feature Extraction,
ICIP06(2761-2764).
IEEE DOI 0610
BibRef

Nussbaum, S., Niemeyer, I., Canty, M.J.,
SEATH: A new tool for automated feature extraction in the context of object-based image analysis,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Fasel, B.[Beat], Gatica-Perez, D.[Daniel],
Rotation-Invariant Neoperceptron,
ICPR06(III: 336-339).
IEEE DOI 0609
BibRef

Baloch, S.H., Krim, H., Kogan, I., Zenkov, D.,
Rotation Invariant Topology Coding of 2D and 3D Objects Using Morse Theory,
ICIP05(III: 796-799).
IEEE DOI 0512
BibRef

Han, D.I.[Dong-Il], You, B.J.[Bum-Jae], Oh, S.R.[Sang-Rok],
A Novel Shape Descriptor Based on Interrelation Quadruplet,
ICIAR04(I: 384-391).
Springer DOI 0409
BibRef

Chung, Y.C.[Yun-Chung], Wang, J.M.[Jung-Ming], Bailey, R.R., Chen, S.W.[Sei-Wang],
Physics-based extraction of intrinsic images from a single image,
ICPR04(IV: 693-696).
IEEE DOI 0409
BibRef

Luxen, M.[Marc],
Variance Component Estimation in Performance Characteristics Applied to Feature Extraction Procedures,
DAGM03(498-506).
Springer DOI 0310
BibRef

Felsberg, M.[Michael], Jonsson, E.[Erik],
Energy Tensors: Quadratic, Phase Invariant Image Operators,
DAGM05(493).
Springer DOI 0509
BibRef

Felsberg, M.[Michael], Sommer, G.[Gerald],
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters,
ECCV02(I: 369 ff.).
Springer DOI 0205
BibRef
Earlier:
Structure Multivector for Local Analysis of Images,
WTRCV01(93). 0103
BibRef

Silva, R., Gomes, J., Mota, C.[Cicero],
Geometric processing of Volumetric Objects,
WSCG01(II, 307-314). curvature operators, volumetric processing, non-linear processing, volumetric visualisation.
PDF File. BibRef 0100

Lei, B.J., Hendriks, E.A., Reinders, M.J.T.,
Detecting Generic Low-level Features in Images,
ICPR00(Vol III: 967-970).
IEEE DOI 0009
BibRef

Vaidya, V.G., Kaushal, R.,
Localization of Objects in Noisy Scenes for Robotics Applications Using Wigner Distribution,
MVA98(xx-yy). BibRef 9800

Kalocsai, P.,
Biologically Inspired Recognition Model with Extension Fields,
ICIP97(II: 450-453).
IEEE DOI BibRef 9700

Bailey, D.,
Detecting Regular Patterns Using Frequency Domain Self-Filtering,
ICIP97(I: 440-443).
IEEE DOI BibRef 9700

Baker, S.[Simon], Nayar, S.K.[Shree K.],
Optimal Weighting Functions for Feature Detection,
DARPA98(1059-1064). BibRef 9800

Redding, N., Whatmough, R.,
Fitting Implicit Quartics for Use in Feature Extraction,
ICIP97(II: 410-413).
IEEE DOI BibRef 9700

Low, B.K., Ibrahim, M.K.[Mohammad K.],
Towards a Cost-Effective Feature Detection System: Spatio-Temporal Approach,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Mohammad-Djafari, A., Khayi, Y., Sauer, K., and Cano, E.,
Reconstruction of the Shape of a Compact Object from Few Projections,
ICIP97(I: 165-168).
IEEE DOI BibRef 9700

Braeutigam, C., Garding, J., Eklundh, J.,
Seeing the Obvious,
ICPR96(I: 67-72).
IEEE DOI 9608
(Royal Institute of Technology, S) BibRef

Windeatt, T., Tebbs, R.,
Analytical Feature Extraction and Spectral Summation,
ICPR96(IV: 315-319).
IEEE DOI 9608
(Univ. of Surrey, UK) BibRef

Kupeev, K.Y.[Konstantin Y.],
On Significant Maxima Detection: A Fine-to-Coarse Algorithm,
ICPR96(II: 270-274).
IEEE DOI 9608
(Tel Aviv Univ., IL) Perceptual grouping.
PS File. BibRef

Kupeev, K.Y., Wolfson, H.J.,
Perceptual Convexity,
SPIE(2573), San Diego, CA, 1995, pp. 125-136.
PS File. BibRef 9500

Lai, S.H., Vemuri, B.C.,
An O(N) Iterative Solution to the Poisson Equation in Low-Level Vision Problems,
CVPR94(9-14).
IEEE DOI BibRef 9400

Lutton, E., Martinez, P.,
A Genetic Algorithm for the Detection of 2D Geometric Primitives in Images,
ICPR94(A:526-528).
IEEE DOI BibRef 9400

Richards, W., Feldman, J., Jepson, A.D.,
From Features to Perceptual Categories,
BMVC92(xx-yy).
PDF File. 9209
What features are needed. BibRef

Vasiliev, A.A., Dadeshidze, V.V., Kompanets, I.N., Lunyakova, G.A., Sinigibsky, A.U.,
Optical pattern recognition using correlation procedure for rotation- and scale-invariant feature extraction,
ICPR88(II: 1260-1264).
IEEE DOI 8811
BibRef

Beaudet, P.R.,
Rotationally Invariant Image Operators,
ICPR78(579-583). BibRef 7800

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Shape Decomposition .


Last update:Mar 16, 2024 at 20:36:19