A general shape context framework for object identification

Computer Vision and Image Understanding

Volumn 112, Issue 3, 2008, Pages 324-336

  Chi, Yanling ^a   Leung, Maylor K H ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Indexing; Object retrieval; Shape recognition

Indexed keywords

SEPARATION; SYSTEMS ENGINEERING;

CLUTTERED ENVIRONMENTS; COMPLEX BACKGROUNDS; CONSISTENT; INDEXING; INDEXING STRUCTURES; NEIGHBORHOOD INFORMATIONS; OBJECT IDENTIFICATIONS; OBJECT RETRIEVAL; OPTIMAL MATCHES; SHAPE CONTEXTS; SHAPE INFORMATIONS; SHAPE RECOGNITION; STRUCTURAL INFORMATIONS; TEXTURE FEATURES;

INDEXING (OF INFORMATION);

EID: 54949124197     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2008.05.009     Document Type: Article

References (35)

1. Chi Y., and Leung M.K.H. Part based object retrieval in cluttered environment. IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (2007) 890-895
2. Chi Y., and Leung M.K.H. ALSBIR: a local structure based image retrieval. Pattern Recognition 40 (2007) 244-261
3. Freeman H. On the encoding of arbitrary geometric configurations. IRE Transactions on Electronic Computers 10 (1961) 260-268
4. Squire D.M., and Caelli T.M. Invariance signature: characterizing contours by their departures from invariance. Computer Vision and Image Understanding 77 (2000) 284-316
5. Kim H.-K., and Kim J.-D. Region-based shape descriptor invariant to rotation, scale and translation. Signal Processing: Image Communication 16 2000/9 (2000) 87-93
6. Mokhtarian F., and Mackworth A.K. The curvature scale space representation: theory, applications and MPEG-7 standardization (2002), Kluwer Academic Publishers
7. Berretti S., Del Bimbo A., and Pala P. Retrieval by shape similarity with perceptual distance and effective indexing. IEEE Transactions on Multimedia 2 (2000) 225-239
8. Belongie S., Malik J., and Puzicha J. Shape matching and object recognition using shape context. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2002) 509-522
9. Jain A., and Vailaya A. Shape-based retrieval: a case study with trademark image datebases. Pattern Recognition 31 1998/9 (1998) 1369-1390
10. Gold S., Rangarajan A., Lu C.-P., Pappu S., and Mjolsness E. New algorithms for 2D and 3D point matching: pose estimation and correspondence. Pattern Recognition 31 (1998) 1019-1031
11. Huet B., and Hancock E.R. Line pattern retrieval using relational histograms. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (1999) 1363-1370
12. Kim Y.S., and Kim W.Y. Content-based trademark retrieval system using a visually salient feature. Image and Vision Computing 16 1998/8/24 (1998) 931-939
13. Bimbo A.D., and Pala P. Visual image retrieval by elastic matching of user sketches. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (1997) 121-132
14. Lowe D. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60 (2004) 91-110
15. Yang Z., and Cohen F.S. Image registration and object recognition using affine invariants and convex hulls. IEEE Transactions on Image Processing 8 (1999) 934-946
16. Zhu P.F., and Chirlian P.M. On critical point detection of digital shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (1995) 737-748
17. Loncaric S. A survey of shape analysis techniques, Pattern Recognition 31 1998/8/1 (1998) 983-1001
18. Zhang D., and Lu G. Review of shape representation and description techniques. Pattern Recognition 37 2004/1 (2004) 1-19
19. Kim D.H., Yun I.D., and Lee S.U. A new shape decomposition scheme for graph-based representation. Pattern Recognition 38 (2005) 673-689
20. Lu G. Techniques and data structures for efficient multimedia retrieval based on similarity. IEEE Transactions on Multimedia 4 (2002) 372-384
21. Gao Y., and Leung M.K.H. Face recognition using line edge map. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2002) 764-779
22. Biederman I., and Gu J. Surface versus edge-based determinants of visual recognition. Cognitive Psychology 20 (1988) 38-64
23. Attneave F. Some informational aspects of visual perception. Psychological Review 61 (1954) 183-193
24. Zusne L. Visual Perception of Form (1970), Academic Press, New York
25. Koffka K. Principles of Gestalt Psychology (1935), Harcourt, Brace and Company, New York
26. Leung M.K., and Yang Y.H. Dynamic two-strip algorithm in curve fitting. Pattern Recognition 23 (1990) 69-79
27. M. Fisher, K. Smith-Gratto, Gestalt theory: a foundation for instructional screen design, Journal of Educational Technology Systems 27 (1998-1999) 361-371.
28. Manjunath B.S. Introduction to MPEG-7: Multimedia Content Description Interface (2002), Wiley
29. Y. Chi, M.K.H. Leung, A local structure matching approach for large image database retrieval, in: International Conference Image Analysis and Recognition (ICIAR) 2004, pp. 761-768, 2004/09 2004.
30. Huet B., and Hancock E.R. Relational object recognition from large structural libraries. Pattern Recognition 35 9 (2002) 1895-1915
31. Finch A.M., Wilson R.C., and Hancock E.R. Matching delaunay graphs. Pattern Recognition 30 (1997) 123-140
32. Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 6 (1986) 679-698
33. Martin D.R., Fowlkes C.C., and Malik J. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2004) 530-549
34. Trucco E., and Verri A. Introductory Techniques for 3-D Computer vision (1998), Prentice Hall, Inc.
35. F. Jurie, C. Schmid, Scale-invariant shape features for recognition of object categories, in: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, pp. 90-96.