DocumentCode
2476970
Title
Local shape features for object recognition
Author
Heisele, Bernd ; Rocha, Carlos
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
We present a shape matching algorithm based on the chamfer distance transform which can be easily integrated into the well-known SIFT framework. The shape matching was designed to overcome the limitations of SIFT matching for objects which lack texture and have the majority of their features located on the object boundary.
Keywords
image matching; object recognition; shape recognition; transforms; SIFT matching; chamfer distance transform; local shape features; object boundary; object recognition; scale-invariant feature transform; shape matching; Feature extraction; Image edge detection; Image segmentation; Object detection; Object recognition; Robustness; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761194
Filename
4761194
Link To Document