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A method for estimating temporally and spatially consistent dense depth maps in multiple camera setups is presented which is important for reduction of perception artifacts in 3D displays. For this purpose, initially, depth estimation is performed for each camera with the piece-wise planarity assumption and Markov Random Field (MRF) based relaxation at each time instant independently. During the relaxation...
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MVV) content has becoming increasingly popular due to its wide application areas in the near future. In this work, object segmentation problem is studied by additional cues due to depth and motion fields. Segmentation is achieved by modeling images as graphical models and performing...
A graph theoretic color image segmentation algorithm is proposed, in which the popular normalized cuts image segmentation method is improved with modifications on its graph structure. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions, instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights between...
The recent advances in image based rendering (IBR) have pioneered freely determining the viewing position and angle in a scene from multi-view video. Noting that a person could also record a personal video for this arbitrarily selected view and misuse this content, apparently, copyright and copy protection problems also exist and should be solved for IBR applications. In our recent work [1], we have...
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MW) content has becoming increasingly popular due to its wide application areas in the near future. In this work, object segmentation problem is studied by additional cues due to depth and motion fields. Segmentation is achieved by modeling images as graphical models and performing...
In this work, a novel and unified approach for multi-view video (MVV) object segmentation is presented. In the first stage, a region-based graph-theoretic color segmentation algorithm is proposed, in which the popular normalized cuts segmentation method is improved with some modifications on its graph structure. Segmentation is obtained by recursive bi-partitioning of a weighted graph of an initial...
A graph theoretic color image segmentation algorithm is proposed, in which the popular normalized cuts image segmentation method is improved with modifications on its graph structure. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions, instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights between...
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified plane-sweeping strategy. In this approach, the whole scene is assumed to be region-wise planar. These planar regions are defined by back-projections of the over-segmented homogenous color regions on the images and the plane parameters are determined by angle-sweeping at different depth levels. The...
A novel approach for segment-based stereo matching problem is presented, based on a modified plane-sweeping strategy. The space is initially divided into planes that are located at different depth levels via plane sweeping by the help of region-wise planarity assumption for the scene. Over-segmented homogenous color regions are utilized for defining planar segment boundaries and plane equations are...
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