A combined texture-shape descriptor for enhanced 3D feature matching

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 whi...

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Bibliographic Details
Published in2011 18th IEEE International Conference on Image Processing pp. 809 - 812
Main Authors Tombari, Federico, Salti, Samuele, Di Stefano, Luigi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
3D Descriptor
3D Features
Accuracy
Feature extraction
Histograms
Image color analysis
Measurement
Shape
Surface Matching
Three dimensional displays
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Summary: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.
ISBN:1457713047
9781457713040
ISSN:1522-4880
DOI:10.1109/ICIP.2011.6116679