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
Qi, C.R.,
Litany, O.,
He, K.,
Guibas, L.,
Deep Hough Voting for 3D Object Detection in Point Clouds,
ICCV19(9276-9285)
IEEE DOI
2004
Hough transforms, image colour analysis, object detection,
stereo image processing, deep Hough voting, point clouds, Pipelines
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.X.[Han-Xi],
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],
ikudová, 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.W.[Andrew W.],
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 .