DocumentCode :
2835939
Title :
A combined texture-shape descriptor for enhanced 3D feature matching
Author :
Tombari, Federico ; Salti, Samuele ; Stefano, Luigi Di
Author_Institution :
CVLab - DEIS, Univ. of Bologna, Bologna, Italy
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
809
Lastpage :
812
Abstract :
Motivated by the increasing availability of 3D sensors capable of delivering both shape and texture information, this paper presents a novel descriptor for feature matching in 3D data enriched with texture. The proposed approach stems from the theory of a recently proposed descriptor for 3D data which relies on shape only, and represents its generalization to the case of multiple cues associated with a 3D mesh. The proposed descriptor, dubbed CSHOT, is demonstrated to notably improve the accuracy of feature matching in challenging object recognition scenarios characterized by the presence of clutter and occlusions.
Keywords :
feature extraction; image matching; image sensors; image texture; object recognition; shape recognition; 3D mesh; 3D sensors; combined texture-shape descriptor; dubbed CSHOT; enhanced 3D feature matching; object recognition scenarios; Accuracy; Feature extraction; Histograms; Image color analysis; Measurement; Shape; Three dimensional displays; 3D Descriptor; 3D Features; Surface Matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116679
Filename :
6116679
Link To Document :
بازگشت