Upright orientation of man-made objects

SIGGRAPH'08: International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2008 Papers 2008

Volumn , Issue , 2008, Pages

  Fu, Hongbo ^a   Cohen Or, Daniel ^b   Dror, Gideon ^c   Sheffer, Alia ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b TEL AVIV UNIVERSITY   (Israel)

^c ACADEMIC COLLEGE OF TEL AVIV YAFFO   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; COMPUTER GRAPHICS; FUNCTIONS; INTERACTIVE COMPUTER GRAPHICS; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES; TWO DIMENSIONAL;

10 FOLD CROSS VALIDATIONS; FLAT SURFACES; FOREST CLASSIFIERS; GEOMETRIC ATTRIBUTES; GEOMETRIC PROPERTIES; MAN-MADE OBJECTS; PREDICTION ACCURACIES; STATIC EQUILIBRIUM; TEST SETS; TRAINING SETS;

PROBABILITY DENSITY FUNCTION;

EID: 57649086696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. BLANZ, V., TARR, M. J., AND BÜLTHOFF, H. H. 1999. What object attributes determine canonical views? Perception 28, 5, 575-599.
2. BREIMAN, L. 2001. Random forests. Machine Learning 45, 1, 5-32.
3. COHEN-STEINER, D., ALLIEZ, P., AND DESBRUN, M. 2004. Variational shape approximation. ACM Trans. Graph. 23, 3, 905-914.
4. DUDA, R. O., HART, P. E., AND STORK, D. G. 2000. Pattern Classification, Second Edition. Wiley-Interscience, October.
5. FABRI, A., GIEZEMAN, G.-J., KETTNER, L., SCHIRRA, S., AND SCHÖNHERR, S. 2000. On the design of CGAL, a computational geometry algorithms library. Softw. Pract. Exper. 30, 11, 1167-1202.
6. IYER, N., JAYANTI, S., LOU, K., KALYANARAMAN, Y., AND RAMANI, K. 2005. Three-dimensional shape searching: state-of-the-art review and future trends. Computer-Aided Design 37, 5, 509-530.
7. JOACHIMS, T. 1999. Making large-scale support vector machine learning practical. In Advances in Kernel Methods: Support Vector Machines. MIT Press.
8. KAZHDAN, M., FUNKHOUSER, T., AND RUSINKIEWICZ, S. 2003. Rotation invariant spherical harmonic representation of 3D shape descriptors. In SGP '03, 156-164.
9. KRIEGMAN, D. J. 1997. Let them fall where they may: capture regions of curved objects and polyhedra. Int. J. Rob. Res. 16, 4, 448-472.
10. LEE, C. H., VARSHNEY, A., AND JACOBS, D. W. 2005. Mesh saliency. ACM Trans. Graph. 24, 3, 659-666.
11. LUMINI, A., AND NANNI, L. 2006. Detector of image orientation based on Borda Count. Pattern Recogn. Lett. 27, 3, 180-186.
12. LUO, J., AND BOUTELL, M. 2005. Automatic image orientation detection via confidence-based integration of low-level and semantic cues. IEEE Trans. Pattern Anal. Mach. Intell. 27, 5, 715-726.
13. MITRA, N. J., GUIBAS, L. J., AND PAULY, M. 2006. Partial and approximate symmetry detection for 3D geometry. ACM Trans. Graph. 25, 3, 560-568.
14. MOLL, M., AND ERDMANN, M. 2002. Manipulation of pose distributions. The International Journal of Robotics Research 21, 3, 277-292.
15. PODOLAK, J., SHILANE, P., GOLOVINSKIY, A., RUSINKIEWICZ, S., AND FUNKHOUSER, T. 2006. A planar-reflective symmetry transform for 3D shapes. ACM Trans. Graph. 25, 3, 549-559.
16. SAARINEN, J., LEVI, D. M., AND SHEN, B. 1997. Integration of local pattern elements into a global shape in human vision. Proc. Natl. Acad. Sci. USA 94, 8267-8271.
17. SALEEM, W., WANG, D., BELYAEV, A., AND SEIDEL, H.-P. 2007. Automatic 2D shape orientation by example. In SMI '07, 221-225.
18. SHEFFER, A., AND HART, J. 2002. Seamster: inconspicuous low-distortion texture seam layout. In IEEE Visualization, 291-298.
19. SHILANE, P., AND FUNKHOUSER, T. 2007. Distinctive regions of 3D surfaces. ACM Transactions on Graphics 26, 2, 7.
20. SHILANE, P., MLN, P., KAZHDAN, M., AND FUNKHOUSER, T. 2004. The Princeton shape benchmark. In SMI '04, 167-178.
21. SIMARI, P., KALOGERAKIS, E., AND SINGH, K. 2006. Folding meshes: hierarchical mesh segmentation based on planar symmetry. In SGP '06, 111-119.
22. SNYDER, J. M. 1995. An interactive tool for placing curved surfaces without interpenetration. In SIGGRAPH '95, 209-218.
23. SULLIVAN, L. H. 1896. The tall office building artistically considered. Lippincott's Magazine.
24. TANGELDER, J., AND VELTKAMP, R. 2004. A survey of content based 3D shape retrieval methods. In Shape Modeling Applications, 145-156.
25. VAPNIK, V. N. 1995. The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc., New York, NY, USA.
26. VÁZQUEZ, P.-P., FEIXAS, M., SBERT, M., AND HEIDRICH, W. 2003. Automatic view selection using viewpoint entropy and its application to image-based modelling. Computer Graphics Forum 22, 4, 689-700.
27. WAINWRIGHT, M. J., AND JORDAN, M. I. 2003. Graphical models, exponential families, and variational inference. Tech. Rep. TR 649, Department of Statistics, UC Berkeley.
28. WANG, Y. M., AND ZHANG, H. 2004. Detecting image orientation based on low-level visual content. Computer Vision and Image Understanding 93, 3, 328-346.
29. XU, K., STEWART, J., AND FIUME, E. 2002. Constraint-based automatic placement for scene composition. In GI '02.
30. YAMAUCHI, H., SALEEM, W., YOSHIZAWA, S., KARNI, Z., BELYAEV, A., AND SEIDEL, H.-P. 2006. Towards stable and salient multi-view representation of 3D shapes. In SMI '06, 265-270.