DocumentCode
2428166
Title
On the Affinity between 3D Detectors and Descriptors
Author
Salti, Samuele ; Petrelli, Alioscia ; Tombari, Federico ; Stefano, Luigi Di
Author_Institution
Comput. Vision Lab., Univ. of Bologna, Bologna, Italy
fYear
2012
fDate
13-15 Oct. 2012
Firstpage
424
Lastpage
431
Abstract
The literature on local invariant 3D features is growing, also fostered by the advent of cheap off-the-shelf 3D sensors. Although several recent proposals in the field include both a detector and a descriptor, some of the most successful and used descriptors do not define a companion detector. Moreover, as vouched by the related field of image features, detectors and descriptors defined within the same proposal do not necessarily yield the highest performance when used together. Hence, in this work we investigate on the effectiveness of the many possible combinations between state-of-the-art 3D detectors and descriptors, so as to identify optimal pairs as well as highlight well-matched detectors for those descriptors lacking a companion feature detection algorithm.
Keywords
computer graphics; image processing; object detection; 3D descriptors; 3D detectors; 3D sensors; companion detector; image features; local invariant 3D features; Detectors; Feature extraction; Histograms; Object recognition; Proposals; Robustness; Shape; 3D descriptor; 3D detector; performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
Conference_Location
Zurich
Print_ISBN
978-1-4673-4470-8
Type
conf
DOI
10.1109/3DIMPVT.2012.10
Filename
6375024
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