A visual vocabulary for flower classification

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2006, Pages 1447-1454

  Nilsback, Maria Elena ^a   Zisserman, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FLOWER CLASSIFICATION; NEAREST NEIGHBOUR CLASSIFIER; VISUAL VOCABULARY;

ALGORITHMS; IMAGE PROCESSING; OPTIMIZATION; TEXTURES; VOCABULARY CONTROL;

PATTERN RECOGNITION;

EID: 33845570201     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.42     Document Type: Conference Paper

References (17)

1. A. Bosch, A. Zisserman, and J. Muñoz. Scene classification via plsa. In Proc. ECCV, 2006.
2. Y. Y. Boykov and M. P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In Proc. ICCV, volume 2, pages 105-112, 2001.
3. G. Csurka, C. Bray, C. Dance, and L. Fan. Visual categorization with bags of keypoints. In Workshop on Statistical Learning in Computer Vision, ECCV, pages 1-22, 2004.
4. N. Dalal and B. Triggs. Histogram of oriented gradients for human detection. In Proc. CVPR, 2005.
5. G. Dorkó and C. Schmid. Selection of scale-invariant parts for object class recognition. In Proc. ICCV, 2003.
6. T. Elpel. Botany in a Day. HOPS Press, 2000.
7. L. Fei-Fei and P. Perona. A Bayesian hierarchical model for learning natural scene categories. In Proc. CVPR, Jun 2005.
8. N. Jojic, B. Frey, and A. Kannan. Epitomic analysis to appearance and shape. In Proc. ICCV, 2003.
9. H. Ling and D. W. Jacobs. Using the inner-distance for classification of articulated shapes. In Proc. CVPR, volume 2, pages 719-726, 2005.
10. D. Löwe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
11. S. Mahamud and M. Hebert. The optimal distance measure for object detection. In Proc. CVPR, volume 1, pages 248-258, 2003.
12. K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. IJCV, 1(60):63-86, 2004.
13. F. Mokhtarian and S. Abbasi. Matching shapes with self-intersections: Application to leaf classification. IEEE Transactions on Image Processing, 13(5), 2004.
14. P. Quelhas, F. Monay, J. Odobez, D. Gatica-Perez, T. Tuytelaars, and L. Van Gool. Modelling scenes with local descriptors and latent aspects. In Proc. ICCV, 2005.
15. J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman. Discovering object categories in image collections. In Proc. ICCV, 2005.
16. M. Varma and A. Zisserman. Classifying images of materials: Achieving viewpoint and illumination independence. In Proc. ECCV, volume 3, pages 255-271. Springer-Verlag, May 2002.
17. J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object catergories: An in-depth study. Technical Report, INRIA Rhône-Alpes, 2005.