Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces

Computer Graphics Forum

Volumn 34, Issue 5, 2015, Pages 25-38

  Huang, Haibin ^a   Kalogerakis, Evangelos ^a   Marlin, Benjamin ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Categories and Subject Descriptors (according to ACM CCS); I.3.5 Computer Graphics : Computational Geometry and Object Modeling

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER GRAPHICS; DEFORMATION;

ANALYSIS AND SYNTHESIS; CLASSIFICATION AND SYNTHESIS; COMPUTATIONAL GEOMETRY AND OBJECT MODELING; DESCRIPTORS; QUANTITATIVE EVALUATION; STATE-OF-THE-ART APPROACH; STATISTICAL RELATIONSHIP; TEMPLATE-BASED APPROACHES;

SYNTHESIS (CHEMICAL);

EID: 84946747827     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/cgf.12694     Document Type: Conference Paper

References (47)

1. Allen B.; Curless B.; Popovic Z.;: The space of human body shapes: reconstruction and parameterization from range scans. ACM Trans. Graphics 22, 3 (2003). 3
2. Asafi S.; Goren A.; Cohen-Or D.;: Weak convex decomposition by lines-of-sight. Comp. Graph. Forum 32, 5 (2013). 5
3. Averkiou M.; Kim V.G.; Zheng Y.; Mitra N.J.;: ShapeSynth: Parameterizing Model Collections for Coupled Shape Exploration and Synthesis. Comp. Graph. Forum 33, 2 (2014). 2, 3
4. Anguelov D.; Srinivasan P.; Koller D.; Thrun S.; Rodgers J.; Davis J.;: SCAPE: shape completion and animation of people. ACM Trans. Graph. 24, 3 (2005). 3
5. Bao S.Y.; Chandraker M.; Lin Y.; Savaresey S.;: Dense object reconstruction with semantic priors. In Proc. CVPR (2013). 3
6. Bengio Y.;: Learning deep architectures for ai. Found. Trends Mach. Learn. 2, 1 (2009). 2
7. Blanz V.; Vetter T.;: A morphable model for the synthesis of 3D faces. In Proc. SIGGRAPH (1999). 3
8. Chen Y.; Kim T.; Cipolla R.;: Silhouette-based object phenotype recognition using 3d shape priors. In Proc. CVPR (2011). 3
9. Dame A.; Prisacariu V.; Ren C.; Reid I.;: Dense reconstruction using 3D object shape priors. In Proc. CVPR (2013). 3
10. Fish N.; Averkiou M.; van Kaick O.; Sorkine-Hornung O.; Cohen-Or D.; Mitra N.J.;: Meta-representation of shape families. ACM Trans. Graph. 33, 4 (2014). 2, 3
11. Frey B.J.; Dueck D.;: Clustering by passing messages between data points. Science 315 (2007). 6
12. Givoni I.E.; Chung C.; Frey B.J.;: Hierarchical affinity propagation. In UAI (2011). 7
13. Hu R.; Fan L.; Liu L.;: Co-segmentation of 3d shapes via subspace clustering. Comp. Graph. Forum 31, 5 (2012). 3
14. Huang Q.; Guibas L.;: Consistent shape maps via semidefinite programming. Comp. Graph. Forum 32, 5 (2013). 2
15. Huang Q.; Koltun V.; Guibas L.;: Joint shape segmentation with linear programming. ACM Trans. Graph. 30, 6 (2011). 3
16. Huang Q.-X.; Su H.; Guibas L.;: Fine-grained semi-supervised labeling of large shape collections. ACM Trans. Graph. 32, 6 (2013). 2, 11
17. Hilaga M.; Shinagawa Y.; Kohmura T.; Kunii T.L.;: Topology Matching for Fully Automatic Similarity Estimation of 3d Shapes. In Proc. SIGGRAPH (2001). 5
18. Huang Q.; Wang F.; Guibas L.;: Functional map networks for analyzing and exploring large shape collections. ACM Trans. Graph. 33, 4 (2014). 11
19. Huang Q.-X.; Zhang G.-X.; Gao L.; Hu S.-M.; Butscher A.; Guibas L.;: An optimization approach for extracting and encoding consistent maps in a shape collection. ACM Trans. Graph. 31, 6 (2012). 2
20. Kalogerakis E.; Chaudhuri S.; Koller D.; Koltun V.;: A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31, 4 (2012). 2, 3, 13
21. Koller D.; Friedman N.;: Probabilistic Graphical Models: Principles and Techniques. MIT Press, 2009. 5, 9
22. Kalogerakis E.; Hertzmann A.; Singh K.;: Learning 3D Mesh Segmentation and Labeling. ACM Trans. Graphics 29, 3 (2010). 3
23. Kim V.G.; Li W.; Mitra N.J.; DiVerdi S.; Funkhouser T.;: Exploring collections of 3d models using fuzzy correspondences. ACM Trans. Graph. 31, 4 (2012). 2, 6
24. Kim V.G.; Li W.; Mitra N.J.; Chaudhuri S.; DiVerdi S.; Funkhouser T.;: Learning part-based templates from large collections of 3d shapes. ACM Trans. Graph. 32, 4 (2013). 2, 3, 4, 5, 6, 11
25. Laga H.; Mortara M.; Spagnuolo M.;: Geometry and context for semantic correspondences and functionality recognition in man-made 3d shapes. ACM Trans. Graph. 32, 5 (2013). 3
26. Marlin B.M.;: Missing Data Problems in Machine Learning. PhD thesis, University of Toronto, 2008. 10
27. Mohamed A.; Dahl G.E.; Hinton G.;: Acoustic modeling using deep belief networks. Trans. Audio, Speech and Lang. Proc. 20, 1 (2012). 3
28. Mitra N.; Wand M.; Zhang H.R.; Cohen-Or D.; Kim V.; Huang Q.-X.;: Structure-aware shape processing. In SIGGRAPH Asia 2013 Courses (2013). 2
29. Ovsjanikov M.; Li W.; Guibas L.; Mitra N.J.;: Exploration of continuous variability in collections of 3D shapes. ACM Trans. Graphics 30, 4 (2011). 3
30. Prisacariu V.A.; Reid I.;: Shared shape spaces. In Proc. ICCV (2011). 3
31. Roux N.L.; Heess N.; Shotton J.; Winn J.M.;: Learning a generative model of images by factoring appearance and shape. Neural Computation 23, 3 (2011). 3
32. Ranzato M.A.; Susskind J.; Mnih V.; Hinton G.;: On deep generative models with applications to recognition. In Proc. IEEE CVPR (2011). 3
33. Sandhu R.; Dambreville S.; Yezzi A.; Tannenbaum A.;: A nonrigid kernel-based framework for 2d-3d pose estimation and 2d image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33, 6 (2011). 3
34. Salakhutdinov R.; Hinton G.;: An efficient learning procedure for deep boltzmann machines. Neural Computation 24, 8 (2012). 3, 9, 10
35. Sutton C.; Mccallum A.;: Piecewise training of undirected models. In Proc. UAI (2005). 6
36. Shapira L.; Shamir A.; Cohen-Or D.;: Consistent mesh partitioning and skeletonisation using the shape diameter function. The Visual Computer 24, 4 (2008). 5
37. Sumner R.W.; Schmid J.; Pauly M.;: Embedded deformation for shape manipulation. ACM Trans. Graph. 26, 3 (2007). 10
38. Sidi O.; van Kaick O.; Kleiman Y.; Zhang H.; Cohen-Or D.;: Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering. ACM Trans. Graphics 30, 6 (2011). 3
39. Theologou P.; Pratikakis I.; Theoharis T.;: A comprehensive overview of methodologies and performance evaluation frameworks in 3d mesh segmentation. CVIU (2015). 2
40. Tenenbaum J.; Silva V.; Langford J.;: A global geometric framework for nonlinear dimensionality reduction. Science 290, 5500 (2000). 6
41. van Kaick O.; Zhang H.; Hamarneh G.; Cohen-Or D.;: A survey on shape correspondence. Comp. Graph. Forum 30, 6 (2011). 2, 3
42. Wang Y.; Asafi S.; van Kaick O.; Zhang H.; Cohen-Or D.; Chen B.;: Active co-analysis of a set of shapes. ACM Trans. Graph. 31, 6 (2012). 3, 12
43. Wu Z.; Song S.; Khosla A.; Zhang L.; Tang X.; Xiao J.;: 3d shapenets: A deep representation for volumetric shape modeling. In Proc. CVPR (2015). 3
44. Xu W.; Shi Z.; Xu M.; Zhou K.; Wang J.; Zhou B.; Wang J.; Yuan Z.;: Transductive 3d shape segmentation using sparse reconstruction. Comp. Graph. Forum 33, 5 (2014). 3
45. Xie Z.; Xu K.; Liu L.; Xiong Y.;: 3d shape segmentation and labeling via extreme learning machine. Comp. Graph. Forum 33, 5 (2014). 3
46. Xu K.; Zhang H.; Cohen-Or D.; Chen B.;: Fit and diverse: Set evolution for inspiring 3d shape galleries. ACM Trans. Graph. 31, 4 (2012). 3
47. Yumer M.; Kara L.;: Co-constrained handles for deformation in shape collections. ACM Trans. Graph. 32, 6 (2014). 3