Tensor Voting Download Page
We present a method for Perceptual Grouping in Computer Vision for
the inference of structure from sparse, noisy data in 2-D and 3-D.
Over the past few years, we have developed a unified Tensor Based framework
to formalize this problem. The method is not iterative, uses no hard thresholds,
and there is a single free parameter. We have successfully demonstrated
the approach on different early vision tasks and technical applications.
For details please refer to our book
As a brief introduction we suggest to read the preface
and the software
||A Computational Framework for Segmentation and Grouping
by Gérard Medioni, Mi-Suen Lee, and Chi-Keung Tang
There are three free software packages (beta-version) available. The 2D
and 3D tensor voting systems, and the ViewWorld program for visualization.
ViewWorld accepts input files accepted, and outputs generated by the two
Please register first before you download
Prof. Gérard G. Medioni,
Lee, Chi-Keung Tang
Institute for Robotics and Intelligent Systems, University of Southern
California, E-mail: firstname.lastname@example.org