Salient Local 3D Features for 3D Shape Retrieval

Details Salient Local 3D Features for 3D Shape Retrieval Salient Local 3D Features for 3D Shape Retrieval

2011-05-13

arxiv.org/abs/1105.2796v1

Computer Science

Computer Vision and Pattern Recognition

Three-Dimensional Imaging, Interaction, and Measurement. Edited by Beraldin, J. Angelo; Cheok, Geraldine S.; McCarthy, Michael

Scientific paper

10.1117/12.872984

In this paper we describe a new formulation for the 3D salient local features based on the voxel grid inspired by the Scale Invariant Feature Transform (SIFT). We use it to identify the salient keypoints (invariant points) on a 3D voxelized model and calculate invariant 3D local feature descriptors at these keypoints. We then use the bag of words approach on the 3D local features to represent the 3D models for shape retrieval. The advantages of the method are that it can be applied to rigid as well as to articulated and deformable 3D models. Finally, this approach is applied for 3D Shape Retrieval on the McGill articulated shape benchmark and then the retrieval results are presented and compared to other methods.

Affiliated with

Also associated with

No associations

Rating

Salient Local 3D Features for 3D Shape Retrieval does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Salient Local 3D Features for 3D Shape Retrieval, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Salient Local 3D Features for 3D Shape Retrieval will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-27993