A Performance Evaluation of 3D Keypoint Detectors

Intense research activity on 3D data analysis tasks, such as object recognition and shape retrieval, has recently fostered the proposal of many techniques to perform detection of repeatable and distinctive key points in 3D surfaces. This high number of proposals has not been accompanied yet by a com...

Full description

Saved in:
Bibliographic Details
Published in2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission pp. 236 - 243
Main Authors Salti, S., Tombari, F., Stefano, L. D.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.05.2011
Subjects
3D detectors
3D object recognition
Detectors
Laser modes
Noise
Object recognition
performance evaluation
Shape
Solid modeling
Three dimensional displays
Online AccessGet full text
ISBN1612844294
9781612844299
ISSN1550-6185
DOI10.1109/3DIMPVT.2011.37

Cover

More Information
Summary:Intense research activity on 3D data analysis tasks, such as object recognition and shape retrieval, has recently fostered the proposal of many techniques to perform detection of repeatable and distinctive key points in 3D surfaces. This high number of proposals has not been accompanied yet by a comprehensive comparative evaluation of the methods. Motivated by this, our work proposes a performance evaluation of the state-of-the-art in 3D key point detection, mainly addressing the task of 3D object recognition. The evaluation is carried out by analyzing the performance of several prominent methods in terms of robustness to noise (real and synthetic), presence of clutter, occlusions and point-of-view variations.
ISBN:1612844294
9781612844299
ISSN:1550-6185
DOI:10.1109/3DIMPVT.2011.37