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
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;
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
DOI :
10.1109/3DIMPVT.2012.10