Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Orientation invariant 3D object Classification using Hough Transform based methods

J. Knopp and M. Prasad and L. Van Gool
Proceedings of the ACM workshop on 3D object retrieval
Firenze, October 2010

Abstract

In comparison to the 2D case, object class recognition in 3D is a much less researched area. However, with the advent of affordable 3D acquisition technology and the growing popularity of 3D content, its relevance is steadily increasing. Just as in the 2D case, 3D data is often partial, noisy and without prior segmentation. Moreover, the object is rarely observed in a canonical frame of reference with respect to orientation (or scale). We propose a method, using Hough-voting for local 3D features, which is orientation (and scale) invariant.


Link to publisher's page
Download in pdf format
@InProceedings{eth_biwi_00813,
  author = {J. Knopp and M. Prasad and L. Van Gool },
  title = {Orientation invariant 3D object Classification using Hough Transform based methods},
  booktitle = {Proceedings of the ACM workshop on 3D object retrieval},
  year = {2010},
  month = {October},
  pages = {15-20},
  series = {3DOR10},
  publisher = {ACM},
  keywords = {SVM hough transform orientation invariant shape classification shape descriptors}
}