Enhanced 3-D modeling for landmark image classification

IEEE Transactions on Multimedia

Volumn 14, Issue 4 PART 2, 2012, Pages 1246-1258

  Xiao, Xian ^a,b   Xu, Changsheng ^a,b   Wang, Jinqiao ^a,b   Xu, Min ^a,b,c  

^a INSTITUTE OF AUTOMATION   (China)

^b China Singapore Institute of Digital Media   (Singapore)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

3 D model enhancement; Attention analysis; attention based 3 D reconstruction; landmark image classification

Indexed keywords

3-D MODELING; 3D MODELS; 3D RECONSTRUCTION; ATTENTION ANALYSIS; BAG OF WORDS; HOT REGIONS; K-DIMENSIONAL TREE; KD-TREE; LANDMARK MODEL; SCALE INVARIANT FEATURE TRANSFORMS;

FORESTRY; IMAGE CLASSIFICATION; IMAGE PROCESSING;

THREE DIMENSIONAL;

CLASSIFICATION; EXPERIMENTATION; IMAGE ANALYSIS; MAPPING; MATHEMATICAL MODELS; THREE DIMENSIONAL DESIGN;

EID: 84864115933     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2012.2190384     Document Type: Article

References (26)

1. J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, "Local features and kernels for classification of texture and object categories: A comprehensive study," IJCV, pp. 213-238, 2007.
2. Y. P. Li, D. J. Crandall, and D. P. Huttenlocher, "Landmark classification in large-scale image collections," in Proc. ICCV, 2009, pp. 1957-1964.
3. J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification," in Proc. CVPR, 2009, pp. 1794-1801.
4. X. Li, C.Wu, C. Zach, S. Lazebnik, and J. M. Frahm, "Modeling and recognition of landmark image collections using iconic scene graphs," in Proc. ECCV, 2008, pp. 427-440.
5. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, pp. 1150-1157, 2004.
6. N. Snavely, S. M. Seitz, and R. Szeliski, "Photo tourism: Exploring photo collections in 3-D," in Proc. SIGGRAPH, 2006, pp. 835-846.
7. D. Nistér, "An efficient solution to the five-point relative pose problem," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 6, pp. 756-777, Jun. 2004.
8. J. M. Frahm and M. Pollefeys, "RANSAC for (quasi-) degenerate data (QDEGSAC)," in Proc. CVPR, 2006, p. 4530460.
9. R. I. Hartley andA.Zisserman,Multiple View Geometry. Cambridge, U.K.: Cambridge Univ. Press, 2004.
10. J. Hays and A. A. Efros, "Scene completion using millions of photographs," in Proc. SIGGRAPH, 2007.
11. J. S. Beis and D. G. Lowe, "Shape indexing using approximate nearestneighbor search in high-dimensional spaces," in Proc. CVPR, 2003, pp. 1000-1006.
12. X. Xiao, C. S. Xu, and Y. Rui, "Video based 3-D reconstruction using spatio-Temporal attention analysis," in Proc. ICME, 2010, pp. 1091-1096.
13. M. I. A. Lourakis and A. A. Argyros, "SBA: A software package for generic sparse bundle adjustment," ACM Trans. Math. Softw., vol. 36, no. 1, pp. 1-30, 2009.
14. X. Xiao, C. S. Xu, and J. Q. Wang, "Landmark image classification using 3-D point clouds," in Proc. ACM MM, 2010, pp. 719-722.
15. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, "Visual categorization with bags of key points," in Proc. ECCV Workshop Statistical Learning in Computer Vision, 2004, pp. 1-22.
16. D. Crandall, L. Backstrom, D. Huttenlocher, and J. Kleinberg, "Mapping the world's photos," in Proc. WWW, pp. 761-770.
17. N. Snavely, S. M. Seitz, and R. Szeliski, "Modeling the world from internet photo collections," in Proc. IJCV, 2007, pp. 189-210.
18. Y. Furukawa and J. Ponce, "Accurate, dense, and robust multi-view stereopsis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 8, pp. 1362-1376, Aug. 2010.
19. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
20. Y. F.Ma, X. S. Hua, L. Lu, and H. J. Zhang, "A generic framework of user attention model and its application in video summarization," ACM Trans. Multimedia, pp. 907-919, 2005.
21. N. D. B. Bruce, "Features that draw visual attention: An information theoretic perspective," Neurocomputing, pp. 125-133, 2005.
22. H. Y. Liu, S. Q. Jiang, Q. M. Huang, and C. S. Xu, "A generic virtual content insertion system based on visual attention analysis," in Proc. ACM MM, 2008, pp. 379-388.
23. I. Simon,N. Snavely, and S.M. Seitz, "Scene summarization for online image collections," in Proc. ICCV, 2007, pp. 1-8.
24. H. Zhang, J. E. Fritts, and S. A. Goldman, "Image segmentation evaluation: A survey of unsupervised methods," in Proc. CVIU, pp. 260-280.
25. F. F. Li and P. Perona, "A Bayesian hierarchical model for learning natural scene categories," in Proc. CVPR, 2005, pp. 524-531.
26. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," in Proc. IJCV, 2001, pp. 145-175.