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