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Dense disparity features for fast stereo vision

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1 Author(s)
Kalomiros, J.A. ; Dept. of Inf. & Commun., Technol. Educ. Inst. of Serres, Serres, Greece

A novel stereo vision algorithm suitable for real-time autonomous robot applications is proposed. The method extracts dense segments of constant disparity using a similarity metric based on the sum of absolute differences. The resolution of matching image segments can be defined adaptively to allow variable detail. The algorithm is tested on reference data-sets and self captured images and is shown to produce promising results. Handling of regions without texture is also discussed.

Published in:

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on  (Volume:1 )

Date of Conference:

15-17 Sept. 2011

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