Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV

By Christoph Fehn. IS&T/SPIE Electronic Imaging, 2004

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Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks (2016, methodology): “Standard Depth ImageBased Rendering (DIBR) algorithms can then be used to combine the original frame with the depth map in order to arrive at a stereo image pair [2].”
Stereoscopic image generation based on depth images for 3D TV (2005, methodology): “DEPTH-IMAGE-BASED Rendering (DIBR) techniques have recently received much attention in the broadcast research community as a promising technology for three-dimensional television (3D TV) systems [1]–[3].”
Free-Viewpoint TV (2011, background): “Rendering in Case A [18]–[20], Case B [21]–[25], and Case C of FTV architecture in Figure 4 are different.”
Disparity map quality for image-based rendering based on multiple metrics (2014, background): “can generate a new right image using depth map based rendering [4].”
Overview of the Multiview and 3D Extensions of High Efficiency Video Coding (2016, background): “The latter often employ depth-based image rendering tec hniques to generate a dense set of views to the scene [3].”