Tensor Voting with Steerable Filters

Version 1.0.0.0 (2.38 KB) by Emmanuel Maggiori
Tool to do fast perceptual grouping on 2D images by tensor voting
4.0
(1)
774 Downloads
Updated 30 Jul 2014

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Tensor voting is a framework for feature inference in images, based on perceptual principles. This tool implements a steerable filter formulation for 2D dense Tensor Voting. It serves as complimentary material to the following literature review on the framework:
"Perceptual grouping by tensor voting: a comparative survey of recent approaches". E Maggiori, HL Manterola, M del fresno. To be published in IET Computer Vision.

In particular, this tool implements a tensor voting reformulation which runs extremely fast compared to previous work. This formulation was presented in:

"An efficient method for tensor voting using steerable filters", Franken et. al. ECCV 2006.

Cite As

Emmanuel Maggiori (2024). Tensor Voting with Steerable Filters (https://www.mathworks.com/matlabcentral/fileexchange/47398-tensor-voting-with-steerable-filters), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0