Stereo Disparity through Cost Aggregation with Guided Filter

Estimating the depth, or equivalently the disparity, of a stereo scene is a challenging problem in computer vision. The method proposed by Rhemann et al. in 2011 is based on a filtering of the cost volume, which gives for each pixel and for each hypothesized disparity a cost derived from pixel-by-pi...

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Bibliographic Details
Main Authors: Pauline Tan, Pascal Monasse
Format: Article
Language:English
Published: Image Processing On Line 2014-10-01
Series:Image Processing On Line
Online Access:http://www.ipol.im/pub/art/2014/78/