Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10359470 | Image and Vision Computing | 2014 | 15 Pages |
Abstract
In this paper, a local approach for 3D object recognition is presented. It is based on the topological invariants provided by the critical points of the 3D object. The critical points and the links between them are represented by a set of size functions obtained after splitting the 3D object into portions. A suitable similarity measure is used to compare the sets of size functions associated with the 3D objects. In order to validate our approach's recognition performance, we used different collections of 3D objects. The obtained scores are favourably comparable to the related work.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Mohammed Ayoub Alaoui Mhamdi, Djemel Ziou,