Per-patch descriptor selection using surface and scene properties

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7577 LNCS, Issue PART 6, 2012, Pages 172-186

  Everts, Ivo ^a   Van Gemert, Jan C ^a   Gevers, Theo ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DESCRIPTORS; IMAGE PATCHES; IMAGE REPRESENTATIONS; LOCAL IMAGE DESCRIPTORS; OBJECT SURFACE; ON THE FLIES; SELECTION METHODS; SINGLE IMAGES;

LAKES;

COMPUTER VISION;

EID: 84867881262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33783-3_13     Document Type: Conference Paper

References (28)

1. van de Weijer, J., Gevers, T., Geusebroek, J.M.: Edge and corner detection by photometric quasi-invariants. PAMI (2005)
2. Varma, M., Ray, D.: Learning the discriminative power-invariance trade-off. In: ICCV (2007)
3. van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.: Evaluating color descriptors for object and scene recognition. PAMI (2010)
4. Brown, M., Hua, G., Winder, S.: Discriminative learning of local image descriptors. PAMI (2011)
5. Adelson, E.H.: On seeing stuff: the perception of materials by humans and machines. In: Society of Photo-Optical Instrumentation Engineers (SPIE) (2001)
6. Liu, C., Sharan, L., Adelson, E.H., Rosenholtz, R.: Exploring features in a bayesian framework for material recognition. In: CVPR (2010)
7. Cai, H., Mikolajczyk, K., Matas, J.: Learning linear discriminant projections for dimensionality reduction of image descriptors. TPAMI (2010)
8. Philbin, J., Isard, M., Sivic, J., Zisserman, A.: Descriptor Learning for Efficient Retrieval. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 677-691. Springer, Heidelberg (2010)
9. Dubout, C., Fleuret, F.: Tasting families of features for image classification. In: ICCV (2011)
10. Gehler, P.V., Nowozin, S.: On feature combination for multiclass object classification. In: ICCV (2009)
11. Opelt, A., Pinz, A., Fussenegger, M., Auer, P.: Generic object recognition with boosting. TPAMI 28 (2006)
12. Kavukcuoglu, K., Ranzato, M.A., Fergus, R., LeCun, Y.: Learning invariant features through topographic filter maps. In: CVPR (2009)
13. Hu, D., Bo, L., Ren, X.: Toward robust material recognition for everyday objects. In: BMVC (2011)
14. Guo, Y., Zhao, G., Pietikäinen, M., Xu, Z.: Descriptor Learning Based on Fisher Separation Criterion for Texture Classification. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part III. LNCS, vol. 6494, pp. 185-198. Springer, Heidelberg (2011)
15. Caputo, B., Hayman, E., Fritz, M., Eklundh, J.O.: Classifying materials in the real world. Image Vision Comput., 150-163 (2010)
16. Dror, R.O., Adelson, E.H., Willsky, A.S.: Recognition of surface reflectance properties from a single image under unknown real-world illumination. In: CVPR Workshop on Identifying Object Across Variations in Lighting (2001)
17. Romeiro, F., Zickler, T.: Blind Reflectometry. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 45-58. Springer, Heidelberg (2010)
18. Wang, O., Gunawardane, P., Scher, S., Davis, J.: Material classification using brdf slices. In: CVPR (2009)
19. Shafer, S.A.: Using color to separate reflection components. Color Research and Applications 10, 210-218 (1985)
20. Alexe, B., Deselaers, T., Ferrari, V.: Measuring the objectness of image windows. PAMI 99 (2012)
21. van Gemert, J.C.: Exploiting photographic style for category-level image classification by generalizing the spatial pyramid. In: ICMR (2011)
22. Motoyoshi, I., Nishida, S., Sharan, L., Adelson, E.H.: Image statistics and the perception of surface qualities. Nature 447, 206-209 (2007)
23. Sharan, L., Li, Y., Motoyoshi, I., Nishida, S., Adelson, E.H.: Image statistics for surface reflectance perception. J. Opt. Soc. Am. A 25, 846-865 (2008)
24. Gijsenij, A., Gevers, T., van de Weijer, J.: Improving color constancy by photometric edge weighting. PAMI (2011)
25. Yanulevskaya, V., Geusebroek, J.M.: Significance of the weibull distribution and its submodels in natural image statistics. In: VISSAP (2009)
26. Zadrozny, B., Langford, J., Abe, N.: Cost-sensitive learning by cost-proportionate example weighting. In: IEEE International Conference on Data Mining (2003)
27. Barnard, K., Martin, L., Funt, B., Coath, A.: Data for colour research. Color Research and Application (2000)
28. Geusebroek, J.M., Burghouts, G.J., Smeulders, A.W.M.: The amsterdam library of object images. IJCV (2005)