Title :
Local shape features for object recognition
Author :
Heisele, Bernd ; Rocha, Carlos
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;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761194
