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This paper presents a signal processing pipeline of rendering multiple views for autostereoscopic video displays. This system converts two-view videos into multiple views through video rectification, depth map estimation, and multiple views rendering.
The aim of this paper is to propose the technology to allow people to control robots by means of everyday gestures without using sensors or controllers. The hand pose estimation we propose reduces the number of image features per data set to 64, which makes the construction of a large-scale database possible. This has also made it possible to estimate the 3D hand poses of unspecified users with individual...
This paper presents a novel disparity map refinement method and vision based surveillance framework for the task of detecting objects of interest in dynamic outdoor environments from two stereo video sequences taken at different times and from different viewing angles by a mobile camera platform. The proposed framework includes several steps, the first of which computes disparity maps of the same...
This paper presents a new algorithm for automatically measuring fire spreading characteristics by means of a stereovision system. The proposed framework is based on the use of a pre-calibrated trinocular stereo camera. The first and second steps permit the segmentation and features detection in the images. The third step is a stereo matching approach used in order to automatically process successive...
In this paper a content-independent, adaptive and parameter-free estimation chain for depth map generation from still-images stereo content will be described. The state-of-the-art solutions for each step of the classical chain will be analyzed as reference benchmark for our proposed implementation. Finally, comparative results will be presented and evaluated through the Middlebury Stereo Evaluation...
This paper presents an original development of disparity estimation from stereo couples primarily based on the similarity of image gradient between both images. Each pixel of the left image is associated to right image pixels with same gradient and similar intensity, directly leading to a set of disparities equal to the horizontal displacement in the specific case of epipolar images. Disparity values...
The estimation of road profiles from low texture stereo images is a problematic task because the disparity images computed from such class of images have a large number of noisy disparities. This paper presents a new method that is based on edge maps to guide the cost aggregation process in the stereo matching problem. Using the proposed aggregation method, the disparity images are smooth at low texture...
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