Real-time stereo matching on CUDA using Fourier descriptors and dynamic programming

Computation of stereoscopic depth and disparity map extraction are dynamic research topics. A large variety of algorithms has been developed, among which we cite feature matching, moment extraction, and image representation using descriptors to determine a disparity map. This paper proposes a new me...

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Veröffentlicht in:	Computational visual media (Beijing) Jg. 5; H. 1; S. 59 - 71
Hauptverfasser:	Hallek, Mohamed, Smach, Fethi, Atri, Mohamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beijing Tsinghua University Press 01.03.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Artificial Intelligence Computer Graphics Computer Science Cost function CUDA Dynamic programming Euclidean geometry Feature extraction generalized Fourier descriptors Geometric transformation Image Processing and Computer Vision Matching Optimization Real time Representations Research Article Smoothness stereo matching Stereoscopy User Interfaces and Human Computer Interaction generalized Fourier descriptors CUDA dynamic programming stereo matching
ISSN:	2096-0433, 2096-0662
Online-Zugang:	Volltext
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