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This paper presents a new approach for stereo matching and view interpolation problems based on triangular tessellations suitable for a linear array of rectified cameras. The domain of the reference image is initially partitioned into triangular regions using edge and scale information, aiming to place vertices along image edges and increase the number of(More)
This paper presents a new bilayer video segmentation algorithm focusing on videoconferencing application. A face tracking algorithm is used to guide a generic Ω-shaped template of the head and shoulders. A region of interest (ROI) is created around the generic template, and an energy function based on edge, color and motion cues is used to define the(More)
Stereo matching has a long history in image processing and computer vision. In fact, there are inumerous approaches reported in the literature, and quantitative evaluation is usually performed by comparing the obtained disparity maps with ground truth data (using the MSE, for instance). One important application of stereo matching is view interpolation,(More)
In this paper we propose a new disparity map estimation algorithm from multiple rectified images. The reference image is initially segmented into triangular regions, and each triangle is assigned to an initial disparity, leading to a piece-wise constant disparity map. Then, a refinement step is applied, where the disparity of the triangle vertices is(More)
—This paper proposes a method for motion tracking of objects without a pre-defined shape, the main aspect of this method is the use of a probabilistic volumetric reconstruction that incorporates motion information. First, a volumetric reconstruction of the objects of interest is obtained by the 3D Probabilistic Occupancy Grid method, which was recently(More)
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