Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation

Depth map estimation: a region-based approach

Abstract : This paper presents an approach to the estimation of depth from stereo images which exploits correspondences of image segments. A key motivation is to bypass pixel correspondences which are ambiguous in texture-less regions. One of the main difficulty though is to come up to an equivalent partitioning of both stereo images that facilitates region matching. The reference image which the depth is estimated for is first segmented using the watershed algorithm. Regions are then transferred to the other image of the stereo pair according to a correlation analysis of region contours. This transfer yields regional disparities which are significant as long as the contours for a given region are not due to an occlusion. Based on that observation, we propose an algorithm that detects occlusion contours along a region and that rectifies disparity accordingly.
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download
Contributor : Jean-Charles Bricola Connect in order to contact the contributor
Submitted on : Thursday, May 22, 2014 - 3:32:35 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:12 PM
Long-term archiving on: : Friday, August 22, 2014 - 12:46:15 PM


Files produced by the author(s)


  • HAL Id : hal-00995034, version 1


Jean-Charles Bricola, Michel Bilodeau, Serge Beucher. Depth map estimation: a region-based approach. 2014. ⟨hal-00995034⟩



Record views


Files downloads