Perceptual Grouping Based on Iterative Multi-scale Tensor Voting [chapter]

Leandro Loss, George Bebis, Mircea Nicolescu, Alexei Skourikhine
2006 Lecture Notes in Computer Science  
We propose a new approach for perceptual grouping of oriented segments in highly cluttered images based on tensor voting. Segments are represented as second-order tensors and communicate with each other through a voting scheme that incorporates the Gestalt principles of visual perception. An iterative scheme has been devised which removes noise segments in a conservative way using multi-scale analysis and re-voting. We have tested our approach on data sets composed of real objects in real
more » ... ounds. Our experimental results indicate that our method can segment successfully objects in images with up to twenty times more noise segments than object ones.
doi:10.1007/11919629_87 fatcat:wgrdhviiangbvkwfa4tgmfa7na