Efficient Tensor Voting with 3D tensorial harmonics

摘要

Tensor voting is a robust technique to extract low-level features in noisy images. The approach achieves its robustness by exploiting coherent orientations in local neighborhoods. In this paper we propose an efficient algorithm for dense tensor voting in