DocumentCode :
3456981
Title :
Shape retrieval with robustness against partial occlusion
Author :
Hoynck, Michael ; Ohm, Jens-Rainer
Author_Institution :
Inst. of Commun. Eng., Aachen Univ., Germany
Volume :
3
fYear :
2003
fDate :
6-10 April 2003
Abstract :
Object shape features are powerful when used in similarity search-&-retrieval and object recognition because object shape is usually strongly linked to object functionality and identity. Many applications, including those concerned with visual object retrieval or indexing, are likely to use shape features. Those systems have to cope with scaling, rotation, deformation and partial occlusion of the objects to be described. The ISO standard MPEG-7 contains different shape descriptors; we focus especially on the region-shape descriptor. Since we have found the region-shape descriptor not to be very robust against partial occlusion, we propose a slightly changed feature extraction method, which is based on central-moments. Further, we compare our method with the original region-shape implementation and show that, by applying the proposed changes, the robustness of the region-shape descriptor against partial occlusions can be significantly increased.
Keywords :
feature extraction; hidden feature removal; image classification; image retrieval; object recognition; MPEG-7 descriptors; central-moments; feature extraction; object recognition; object shape features; partial occlusion; region-shape descriptor; shape retrieval; similarity retrieval; similarity search; visual object indexing; Data mining; Indexing; Laser radar; MPEG 7 Standard; Multimedia systems; Object recognition; Robustness; Shape; Standardization; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1199544
Filename :
1199544
Link To Document :
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