Genus Computing for 3D digital objects: algorithm and implementation

Details Genus Computing for 3D digital objects: algorithm and implementation Genus Computing for 3D digital objects: algorithm and implementation

2009-12-25

arxiv.org/abs/0912.4936v1

Computer Science

Computer Vision and Pattern Recognition

12 pages 7 figures. In Proceedings of the Workshop on Computational Topology in image context 2009, Aug. 26-28, Austria, Edite

Scientific paper

This paper deals with computing topological invariants such as connected components, boundary surface genus, and homology groups. For each input data set, we have designed or implemented algorithms to calculate connected components, boundary surfaces and their genus, and homology groups. Due to the fact that genus calculation dominates the entire task for 3D object in 3D space, in this paper, we mainly discuss the calculation of the genus. The new algorithms designed in this paper will perform: (1) pathological cases detection and deletion, (2) raster space to point space (dual space) transformation, (3) the linear time algorithm for boundary point classification, and (4) genus calculation.

Affiliated with

Also associated with

No associations

Rating

Genus Computing for 3D digital objects: algorithm and implementation 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 Genus Computing for 3D digital objects: algorithm and implementation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Genus Computing for 3D digital objects: algorithm and implementation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-269538