Web-image driven best views of 3D shapes

Visual Computer

Volumn 28, Issue 3, 2012, Pages 279-287

  Liu, Hong ^a   Zhang, Lei ^a   Huang, Hua ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Best view; Curvature; Saliency; Silhouette; Web images

Indexed keywords

BEST VIEW; CURVATURE; SALIENCY; SILHOUETTE; WEB IMAGES;

INTERFACES (COMPUTER); SOFTWARE ENGINEERING;

THREE DIMENSIONAL;

EID: 84858703598     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-011-0638-z     Document Type: Article

References (26)

1. McMillan, L., Bishop, G.: Plenoptic modeling: an image-based rendering system. In: Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, pp. 39-46 (1995)
2. Denton, T., Demirci, M.F., Abrahamson, J., Shokoufandeh, A., Dickinson, S.: Selecting canonical views for view-based 3-d object recognition. In: International Conference on Pattern Recognition, vol. 2, pp. 273-276 (2004)
3. M. Mortara M. Spagnuolo 2009 Semantics-driven best view of 3d shapes Comput. Graph. 33 3 280 290 10.1016/j.cag.2009.03.003
4. V. Blanz M.J. Tarr H.H. Bülthoff T. Vetter 1999 What object attributes determine canonical views? Perception 28 5 575 600 10.1068/p2897
5. H.B. Fu D. Cohen-Or G. Dror A. Sheffer 2008 Upright orientation of man-made objects ACM Trans. Graph. 27 3 42 48 10.1145/1360612.1360641
6. Vázquez, P.P., Feixas, M., Sbert, M., Heidrich, W.: Viewpoint selection using viewpoint entropy. In: Proceedings of the Vision Modeling and Visualization Conference, pp. 273-280 (2001)
7. Vázquez, P.P., Feixas, M., Sbert, M., Llobet, A.: Viewpoint entropy: a new tool for obtaining good views of molecules. In: Proceedings of the Symposium on Data Visualisation, pp. 183-188 (2002)
8. Page, D.L., Koschan, A.F., Sukumar, S.R., Roui-Abidi, B., Abidi, M.A.: Shape analysis algorithm based on information theory. In: International Conference on Image Processing, vol. 1, pp. 229-232 (2003)
9. C.H. Lee A. Varshney D.W. Jacobs 2005 Mesh saliency ACM Trans. Graph. 24 3 659 666 10.1145/1073204.1073244
10. Takahashi, S., Fujishiro, I., Takeshima, Y., Nishita, T.: A feature-driven approach to locating optimal viewpoints for volume visualization. In: IEEE Visualization, pp. 495-502 (2005)
11. O. Polonsky G. Patané S. Biasotti C. Gotsman M. Spagnuolo 2005 What's in an image? Vis. Comput. 21 8 840 847 10.1007/s00371-005-0326-y (Pubitemid 41316208)
12. Laga, H.: Semantics-driven approach for automatic selection of best views of 3d shapes. In: Eurographics Workshop on 3D Object Retrieval (2010)
13. N. Snavely S.M. Seitz R. Szeliski 2006 Photo tourism: exploring photo collections in 3d ACM Trans. Graph. 25 3 835 846 10.1145/1141911.1141964 (Pubitemid 44481045)
14. Hays, J., Efros, A.A.: Scene completion using millions of photographs. ACM Trans. Graph. 26(3) (2007)
15. T. Chen M.M. Cheng P. Tan A. Shamir S.M. Hu 2009 Sketch2photo: internet image montage ACM Trans. Graph. 28 5 124 133
16. Raimondo, S., Gianluigi, C., Silvia, Z., Istituto, T., Infomatiche, M.: A survey of methods for colour image indexing and retrieval in image databases, pp. 183-211 (2001)
17. Schroff, F., Criminisi, A., Zisserman, A.: Harvesting image databases from the web. In: International Conference on Computer Vision, pp. 1-8 (2007)
18. S. Belongie J. Malik J. Puzicha 2002 Shape matching and object recognition using shape contexts IEEE Trans. Pattern Anal. Mach. Intell. 24 4 509 522 10.1109/34.993558 (Pubitemid 34448769)
19. Gooch, B., Hartner, M., Beddes, N.: Silhouette algorithm. In: ACM SIGGRAPH Course Notes (2003)
20. M.K. Hu 1962 Visual pattern recognition by moment invariants IRE Trans. Inf. Theory 8 2 179 187 0102.13304 10.1109/TIT.1962.1057692
21. C. Connor H. Egeth S. Yantis 2004 Visual attention: bottom-up versus top-down Curr. Biol. 14 19 850 852 10.1016/j.cub.2004.09.041 (Pubitemid 39301156)
22. M. Meyer M. Desbrun P. Schröder A.H. Barr 2002 Discrete differential geometry operators for triangulated 2-manifolds Math. Vis. 3 7 1 26
23. Zhai, Y., Shah, M.: Visual attention detection in video sequences using spatiotemporal cues. In: ACM International Conference on Multimedia, pp. 815-824 (2006) (Pubitemid 47113641)
24. Cheng, M.M., Zhang, G.X., Mitra, N., Huang, X.L., Hu, S.M.: Global contrast based salient region detection. In: Computer Vision and Pattern Recognition (2011)
25. Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 603-619 (2002) (Pubitemid 34550429)
26. Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The Princeton shape benchmark. In: Proceedings of the Shape Modeling International, pp. 167-178 (2004)