Object detection by contour segment networks

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

Volumn 3953 LNCS, Issue , 2006, Pages 14-28

  Ferrari, Vittorio ^a   Tuytelaars, Tinne ^b   Van Gool, Luc ^a,b  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUTTER (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; COMPUTER VISION; EDGE DETECTION; FACE RECOGNITION; IMAGE PROCESSING; MATHEMATICAL MODELS;

CLUTTERED REAL IMAGE; CONTOUR SEGMENT NETWORK; DETECTION TECHNIQUE; OBJECT DETECTION;

COMPUTER NETWORKS;

EID: 33745843241     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744078_2     Document Type: Conference Paper

References (17)

1. R. Basri, L. Costa, D. Geiger, D. Jacobs, Determining the Similarity of Deformable Shapes, Vision Research, 1998.
2. S. Belongie, J. Malik, J. Puzicha, Shape Matching and Object Recognition Using Shape Contexts, PAMI, 24:4, 2002.
3. A. Berg, T. Berg and J. Malik, Shape Matching and Object Recognition using Low Distortion Correspondence, CVPR, 2005.
4. J. R. Beveridge and E. M. Riseman, How Easy is Matching 2D Line Models Using Local Search?, PAMI, 19:6, 1997
5. A. Del Bimbo, P. Pala, Visual Image Retrieval by Elastic Matching of User Sketches, PAMI, 19:2, 1997.
6. T. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, Active Shape Models - Their Training and Application, CVIU, 61:1, 1995.
7. D. Cremers, C. Schnorr, and J. Weickert, Diffusion-Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework, Workshop on Variational and Levelset Methods, 2001.
8. P. F. Felzenszwalb, Representation and Detection of Deformable Shapes, CVPR'03
9. V. Ferrari, T. Tuytelaars, and L. Van Gool, Real-time Affine Region Tracking and Coplanar Grouping, CVPR, 2001.
10. D. Gavrila, V. Philomin, Real-time Object Detection for Smart Vehicles, ICCV'99
11. W. Crimson, T. Lozano-Ferez, Localizing Overlapping Parts by Searching the Interpretation Tree, PAMI, 9:4, 1987.
12. D.Jacobs, Robust and Efficient Detection of Convex Groups, PAMI, 18:1, 1996.
13. B. Leibe, B. Schiele, Pedestrian detection in crowded scenes, CVPR, 2005.
14. D. Lowe, T. Binford, Perceptual organization as a basis for visual recognition, AAAI, 1983
15. D. Martin, C. Fowlkes and J. Malik, Learning to detect natural image boundaries using local brightness, color, and texture cues, PAMI, 26(5):530-549, 2004.
16. A. Selinger, R. Nelson, A Cubist approach to Object Recognition, ICCV, 1998.
17. A. Thayananthan, B. Stenger, P. Torr, R. Cipolla, Shape Context and Chamfer Matching in Cluttered Scenes, CVPR, 2003.