2015/09/29 by Suren Vagharshakyan, Robert Bregović, Robert Bregovic +4 · 1 citation
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer graphics (images) #Computer science #Computer vision #Epipolar geometry #FOS: Computer and information sciences #Image (mathematics) #Image Enhancement Techniques #Image-based modeling and rendering #Iterative reconstruction #Light field #Rendering (computer graphics) #Shearlet #Thresholding #View synthesis #cs.CV
paper · pdf · doi:10.48550/arxiv.1509.08969
12 pages, 11 figures
arxiv created 2015/09/29 · openalex publication_date 2015/09/29 · arxiv updated 2015/10/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras. Our approach utilizes sparse representation of epipolar-plane images in a directionally sensitive transform domain, obtained by an adapted discrete shearlet transform. The used iterative thresholding algorithm provides high-quality reconstruction results for relatively big disparities between neighboring views. The generated densely sampled light field of a given 3D scene is thus suitable for all applications which requires light field reconstruction. The proposed algorithm is compared favorably against state of the art depth image based rendering techniques.