Seeing 3D chairs: Exemplar part-based 2D-3D alignment using a large dataset of CAD models

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3762-3769

  Aubry, Mathieu ^a   Maturana, Daniel ^b   Efros, Alexei A ^c   Russell, Bryan C ^d   Sivic, Josef ^a  

^a Centre National de la Recherche Scientifique   (France)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d INTEL CORPORATION   (United States)

Author keywords

3D; alignment; CAD models; category representation; mid level visual elements; recognition

Indexed keywords

3D MODELING; ALIGNMENT; LARGE DATASET; OBJECT DETECTION; STATISTICAL TESTS;

ALIGNMENT PROBLEMS; CAD MODELS; CATEGORY REPRESENTATION; EXEMPLAR-BASED; NEGATIVE IMAGE; OBJECT CATEGORY DETECTION; RECOGNITION; VISUAL ELEMENTS;

COMPUTER AIDED DESIGN;

EID: 84911409986     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.487     Document Type: Conference Paper

References (41)

1. http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2012 /, 2012.
2. http://www.di.ens.fr/willow/research/seeing3Dchairs /, 2012.
3. R. Arandjelović and A. Zisserman. Smooth object retrieval using a bag of boundaries. In ICCV, 2011.
4. M. Aubry, B. Russell, and J. Sivic. Painting-to-3D model alignment via discriminative visual elements. ACM Transactions on Graphics, 2014.
5. G. Baatz, O. Saurer, K. Köser, and M. Pollefeys. Large scale visual geo-localization of images in mountainous terrain. In ECCV, 2012.
6. L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3D human pose annotations. In ICCV, 2009.
7. W. Choi, Y. Chao, C. Pantofaru, and S. Savarese. Understanding indoor scenes using 3D geometric phrases. In CVPR, 2013.
8. O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman. Total Recall: Automatic query expansion with a generative feature model for object retrieval. In ICCV, 2007.
9. N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In CVPR, 2005.
10. T. Dean, M. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan, and J. Yagnik. Fast, accurate detection of 100, 000 object classes on a single machine. In CVPR, 2013.
11. L. Del Pero, J. Bowdish, B. Kermgard, E. Hartley, and K. Barnard. Understanding Bayesian rooms using composite 3D object models. In CVPR, 2013.
12. C. Doersch, A. Gupta, and A. A. Efros. Mid-level visual element discovery as discriminative mode seeking. In NIPS, 2013.
13. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The Pascal visual object classes (VOC) challenge. IJCV, 88(2):303-338, 2010.
14. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. IEEE PAMI, 32(9), 2010.
15. S. Fidler, S. Dickinson, and R. Urtasun. 3D object detection and viewpoint estimation with a deformable 3D cuboid model. In NIPS, 2012.
16. M. Gharbi, T. Malisiewicz, S. Paris, and F. Durand. A Gaussian approximation of feature space for fast image similarity. Technical report, MIT, 2012.
17. D. Glasner, M. Galun, S. Alpert, R. Basri, and G. Shakhnarovich. Viewpoint-aware object detection and pose estimation. In ICCV, 2011.
18. A. Gupta, A. A. Efros, and M. Hebert. Blocks world revisited: Image understanding using qualitative geometry and mechanics. In ECCV, 2010.
19. B. Hariharan, J. Malik, and D. Ramanan. Discriminative decorrelation for clustering and classification. In ECCV, 2012.
20. M. Hejrati and D. Ramanan. Analyzing 3D objects in cluttered images. In NIPS, 2012.
21. D. P. Huttenlocher and S. Ullman. Object recognition using alignment. In ICCV, 1987.
22. A. Jain, A. Gupta, M. Rodriguez, and L. S. Davis. Representing videos using mid-level discriminative patches. In CVPR, 2013.
23. M. Juneja, A. Vedaldi, C. V. Jawahar, and A. Zisserman. Blocks that shout: Distinctive parts for scene classification. In CVPR, 2013.
24. Y. Li, N. Snavely, D. Huttenlocher, and P. Fua. Worldwide pose estimation using 3D point clouds. In ECCV, 2012.
25. J. Lim, H. Pirsiavash, and A. Torralba. Parsing IKEA objects: Fine pose estimation. In ICCV, 2013.
26. D. Lowe. The viewpoint consistency constraint. IJCV, 1(1):57-72, 1987.
27. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
28. T. Malisiewicz, A. Gupta, and A. A. Efros. Ensemble of exemplar-svms for object detection and beyond. In ICCV, 2011.
29. J. L. Mundy. Object recognition in the geometric era: A retrospective. In Toward Category-Level Object Recognition, volume 4170 of Lecture Notes in Computer Science, pages 3-29. Springer, 2006.
30. B. Pepik, M. Stark, P. Gehler, and B. Schiele. Teaching 3D geometry to deformable part models. In CVPR, 2012.
31. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
32. L. Roberts. Machine perception of 3-D solids. In PhD. Thesis, 1965.
33. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints. In CVPR, 2003.
34. S. Satkin, J. Lin, and M. Hebert. Data-driven scene understanding from 3D models. In BMVC, 2012.
35. T. Sattler, B. Leibe, and L. Kobbelt. Fast image-based localization using direct 2D-to-3D matching. In ICCV, 2011.
36. S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012.
37. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple classifiers. In CVPR, 2001.
38. Y. Xiang and S. Savarese. Estimating the aspect layout of object categories. In CVPR, 2012.
39. J. Xiao, B. Russell, and A. Torralba. Localizing 3D cuboids in single-view images. In NIPS, 2012.
40. J. Yagnik, D. Strelow, D. Ross, and R.-S. Lin. The power of comparative reasoning. In ICCV, 2011.
41. M. Zia, M. Stark, B. Schiele, and K. Schindler. Detailed 3D representations for object recognition and modeling. IEEE PAMI, 2013.