Back to Search
Start Over
Active object recognition based on Fourier descriptors clustering
- Source :
-
Pattern Recognition Letters . Jun2008, Vol. 29 Issue 8, p1060-1071. 12p. - Publication Year :
- 2008
-
Abstract
- Abstract: This paper presents a new 3D object recognition/pose strategy based on Fourier descriptors clustering for silhouettes. The method consists of two parts. Firstly, an off-line process calculates and stores a clustered Fourier descriptors database corresponding to the silhouettes of the synthetic model of the object viewed from multiple viewpoints. Next, an on-line process solves the recognition/pose problem for an object that is sensed by a camera placed at the end of a robotic arm. The method solves the ambiguity problem – due to object symmetries or similar projections belonging to different objects – by taking a minimum number of additional views of the scene which are selected through a heuristic next best view (NBV) algorithm. The method works in reduced computational time conditions and provides identification and pose of the object. A validation test of this method has been carried out in our lab yielding excellent results. [Copyright &y& Elsevier]
- Subjects :
- *PORTRAITS
*ART
*PICTURES
BIOGRAPHIES
Subjects
Details
- Language :
- English
- ISSN :
- 01678655
- Volume :
- 29
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Pattern Recognition Letters
- Publication Type :
- Academic Journal
- Accession number :
- 31750423
- Full Text :
- https://doi.org/10.1016/j.patrec.2007.06.016