Tensor Voting with Steerable Filters

Versione 1.0.0.0 (2,38 KB) da Emmanuel Maggiori
Tool to do fast perceptual grouping on 2D images by tensor voting
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Aggiornato 30 lug 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.

Cita come

Emmanuel Maggiori (2025). Tensor Voting with Steerable Filters (https://www.mathworks.com/matlabcentral/fileexchange/47398-tensor-voting-with-steerable-filters), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
1.0.0.0