1 / 62

Smoothness Term

What happened last time?. We have looked at ways for finding a disparity map D that minimizes our energy functionwherem(p,dp) computes color dissimilarity for matching pixel p at disparity dpN denotes all spatial neighbors in 4-connectivitys() is the smoothness function. We use the Potts mode

vevina
Télécharger la présentation

Smoothness Term

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Smoothness Term Michael Bleyer LVA Stereo Vision

    2. What happened last time? We have looked at ways for finding a disparity map D that minimizes our energy function where m(p,dp) computes color dissimilarity for matching pixel p at disparity dp N denotes all spatial neighbors in 4-connectivity s() is the smoothness function. We use the Potts model: We have learned about move making graph-cut algorithms: a swaps a expansions fusion-moves

More Related