Fusing Census and MC-CNN Cost Volumes for Stereo Matching

Stereo matching is an important and popular field of computer vision. Numerous researchers worldwide are devoted to enhancing the effectiveness of stereo matching applications. In stereo matching, determining the costs of matching is a critical step. This step generates a cost volume that quantifies...

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Veröffentlicht in:	Baltic Journal of Modern Computing 2022, Vol.10 (2), p.251-265
Hauptverfasser:	Kivanc, Sahim Giray, Sen, Baha, Ok, Ali Ozgun, Nar, Fatih
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Census Censuses Computer vision Cost function Costs Datasets Deep learning Feature extraction Matching
Online-Zugang:	Volltext
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