Morphological processing of stereoscopic image superimpositions for disparity map estimation

Abstract : This paper deals with the problem of depth map computation from a pair of rectified stereo images and presents a novel solution based on the morphological processing of disparity space volumes. The reader is guided through the four steps composing the proposed method: the segmentation of stereo images, the diffusion of superimposition costs controlled by the segmentation, the resulting generation of a sparse disparity map which finally drives the estimation of the dense disparity map. An objective evaluation of the algorithm's features and qualities is provided and is accompanied by the results obtained on Middlebury's 2014 stereo database.
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01330139
Contributor : Jean-Charles Bricola <>
Submitted on : Monday, June 27, 2016 - 6:00:15 PM
Last modification on : Monday, November 12, 2018 - 11:02:32 AM

Licence


Public Domain

Identifiers

  • HAL Id : hal-01330139, version 1

Citation

Jean-Charles Bricola, Michel Bilodeau, Serge Beucher. Morphological processing of stereoscopic image superimpositions for disparity map estimation. 2016. ⟨hal-01330139⟩

Share

Metrics

Record views

691

Files downloads

773