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