12.3.4.2 Range Data Matching -- Accumulation Methods

Chapter Contents (Back)
Registration, Range. Matching, Range Data. Accumulation Matching. Matching, Accumulation. Hough. See also Matching Using Accumulation and Alignment Schemes. See also Region/Contour Matching, Accumulation Based.

Krighnapuran, R.[Raghu], and Casasent, D.[David],
Determination of Three Dimensional Object Location and Orientation from Range Data,
PAMI(11), No. 11, November 1989, pp. 1158-1167.
IEEE DOI Hough. Pose estimation from 3D views and an extension of the Hough transform. BibRef 8911

Xuan, J., Wang, Y., Zheng, Q., Adali, T.,
Discontinuity-Embedded Deformable Models for Surface Reconstruction From Range Images,
SPLetters(12), No. 12, December 2005, pp. 805-808.
IEEE DOI 0512
BibRef

Xuan, J., Wang, Y., Adali, T., Zheng, Q., Hayes, W., Freedman, M.T., Mun, S.K.,
A Deformable Surface-Spine Model for 3-D Surface Registration,
ICIP97(III: 236-239).
IEEE DOI BibRef 9700

Tangruamsub, S.[Sirinart], Takada, K.[Keisuke], Hasegawa, O.[Osamu],
A fast online incremental learning method for object detection and pose classification using voting and combined appearance modeling,
SP:IC(27), No. 1, January 2012, pp. 75-82.
Elsevier DOI 1201
Object detection; Online incremental learning BibRef

Woodford, O.J.[Oliver J.], Pham, M.T.[Minh-Tri], Maki, A.[Atsuto], Perbet, F.[Frank], Stenger, B.[Björn],
Demisting the Hough Transform for 3D Shape Recognition and Registration,
IJCV(106), No. 3, February 2014, pp. 332-341.
Springer DOI 1402
BibRef
Earlier: BMVC11(xx-yy).
HTML Version. 1110
BibRef

Woodford, O.J.[Oliver J.], Vogiatzis, G.[George],
A Generative Model for Online Depth Fusion,
ECCV12(V: 144-157).
Springer DOI 1210
BibRef

Hernandez, C.[Carlos], Perbet, F.[Frank], Pham, M.T.[Minh-Tri], Vogiatzis, G.[George], Woodford, O.J.[Oliver J.], Maki, A.[Atsuto], Stenger, B.[Bjorn], Cipolla, R.[Roberto],
Live 3D shape reconstruction, recognition and registration,
Dense11(729).
IEEE DOI 1201
BibRef

Pham, M.T.[Minh-Tri], Woodford, O.J.[Oliver J.], Perbet, F.[Frank], Maki, A.[Atsuto], Stenger, B.[Bjorn], Cipolla, R.[Roberto],
A new distance for scale-invariant 3D shape recognition and registration,
ICCV11(145-152).
IEEE DOI 1201
vote based (accumulation) BibRef

Zhao, L.[Long], Peng, Q.Q.[Qiang-Qiang], Huang, B.Q.[Bao-Qi],
Shape matching algorithm based on shape contexts,
IET-CV(9), No. 5, 2015, pp. 681-690.
DOI Link 1511
computer vision polynomial fitting-based feature point extraction. BibRef

Tejani, A.[Alykhan], Kouskouridas, R.[Rigas], Doumanoglou, A., Tang, D.H.[Dan-Hang], Kim, T.K.[Tae-Kyun],
Latent-Class Hough Forests for 6-DoF Object Pose Estimation,
PAMI(40), No. 1, January 2018, pp. 119-132.
IEEE DOI 1712
BibRef
Earlier: A1, A4, A2, A5, Only:
Latent-Class Hough Forests for 3D Object Detection and Pose Estimation,
ECCV14(VI: 462-477).
Springer DOI 1408
Clutter, Feature extraction, Object detection, Pose estimation, Training, pose estimation BibRef

Yang, J., Xiao, Y., Cao, Z.,
Aligning 2.5D Scene Fragments With Distinctive Local Geometric Features and Voting-Based Correspondences,
CirSysVideo(29), No. 3, March 2019, pp. 714-729.
IEEE DOI 1903
Iterative closest point algorithm, Shape, Histograms, Search problems, multi-view alignment BibRef


Erkent, Ö.[Özgür], Shukla, D.[Dadhichi], Piater, J.[Justus],
Integration of Probabilistic Pose Estimates from Multiple Views,
ECCV16(VII: 154-170).
Springer DOI 1611
BibRef

Li, H.[Hanxi], He, X.M.[Xu-Ming], Barnes, N.M.[Nick M.], Wang, M.W.[Ming-Wen],
Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation,
MMMod16(II: 116-129).
Springer DOI 1601
BibRef

Wang, T.[Tao], He, X.M.[Xu-Ming], Barnes, N.M.[Nick M.],
Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning,
CVPR13(1790-1797)
IEEE DOI 1309
BibRef
Earlier:
Learning Hough Forest with Depth-Encoded Context for Object Detection,
DICTA12(1-8).
IEEE DOI 1303
depth-encoded object-context model BibRef

Seib, V.[Viktor], Link, N.[Norman], Paulus, D.[Dietrich],
Pose Estimation and Shape Retrieval with Hough Voting in a Continuous Voting Space,
GCPR15(458-469).
Springer DOI 1511
BibRef

García-Montero, M.[Mario], Redondo-Cabrera, C.[Carolina], López-Sastre, R.[Roberto], Tuytelaars, T.[Tinne],
Fast Head Pose Estimation for Human-Computer Interaction,
IbPRIA15(101-110).
Springer DOI 1506
BibRef

Redondo-Cabrera, C.[Carolina], López-Sastre, R.J.[Roberto J.], Xiang, Y.[Yu], Tuytelaars, T.[Tinne], Savarese, S.[Silvio],
Pose Estimation Errors, the Ultimate Diagnosis,
ECCV16(VII: 118-134).
Springer DOI 1611
Failure cases, effects of object characteristics on performance. BibRef

Redondo-Cabrera, C.[Carolina], López-Sastre, R.[Roberto],
Because better detections are still possible: Multi-aspect Object Detection with Boosted Hough Forest,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Redondo-Cabrera, C.[Carolina], Lopez-Sastre, R.[Roberto], Tuytelaars, T.[Tinne],
All together now: Simultaneous Detection and Continuous Pose Estimation using a Hough Forest with Probabilistic Locally Enhanced Voting,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Haladová, Z.[Zuzana], Šikudová, E.[Elena],
Multiple Instances Detection in RGBD Images,
ICCVG14(246-253).
Springer DOI 1410
using local features and Hough-based voting. BibRef

Buch, A.G.[Anders Glent], Yang, Y.[Yang], Kruger, N.[Norbert], Petersen, H.G.[Henrik Gordon],
In Search of Inliers: 3D Correspondence by Local and Global Voting,
CVPR14(2075-2082)
IEEE DOI 1409
Correspondences; object detection; shape matching BibRef

Drews, T.M.[Timothy Michael], Kry, P.G.[Paul G.], Forbes, J.R.[James Richard], Verbrugge, C.[Clark],
Sequential Pose Estimation Using Linearized Rotation Matrices,
CRV13(113-120)
IEEE DOI 1308
Cameras BibRef

Duan, Y.S.,
Research of Image Matching Algorithm Based On Rotation Vector Field,
ISPRS12(XXXIX-B4:123-125).
DOI Link 1209
BibRef

Banz, C., Pirsch, P., Blume, H.,
Evaluation of Penalty Functions for Semi-global Matching Cost Aggregation,
ISPRS12(XXXIX-B3:1-6).
DOI Link 1209
BibRef

Ueno, K.[Kazuki], Yamaguchi, J.[Jun'ichi],
Passing car identification using Hough data verification,
FCV13(179-183).
IEEE DOI 1304
BibRef

Ueno, K.[Kazuki], Yamaguchi, J.[Jun'ichi],
Object identification by Hough data verification,
FCV11(1-5).
IEEE DOI 1102
BibRef

Fioraio, N.[Nicola], Taylor, J.[Jonathan], Fitzgibbon, A.[Andrew], di Stefano, L.[Luigi], Izadi, S.[Shahram],
Large-scale and drift-free surface reconstruction using online subvolume registration,
CVPR15(4475-4483)
IEEE DOI 1510
BibRef

Tombari, F.[Federico], di Stefano, L.[Luigi],
Object Recognition in 3D Scenes with Occlusions and Clutter by Hough Voting,
PSIVT10(349-355).
IEEE DOI 1011
BibRef

Zöllei, L.[Lilla], Learned-Miller, E.G.[Erik G.], Grimson, W.E.L.[W. Eric L.], Wells, III, W.M.[William M.],
Efficient Population Registration of 3D Data,
CVBIA05(291-301).
Springer DOI 0601
BibRef

Wheeler, M.D.[Mark D.], Sato, Y.[Yoichi], and Ikeuchi, K.[Katsushi],
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images,
ICCV98(917-924).
IEEE DOI BibRef 9800
And: MfR01(Chapter I-3). BibRef
And: DARPA97(911-920). BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Pose Estimation -- Range Data .


Last update:Aug 10, 2019 at 15:07:15