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- W2391103013 abstract "Disparity and depth computation through binocular vision is very important in multiple applications including three dimensional reconstruction and virtual-reality interaction. Window-based adaptive correspondence algorithms have high accuracy as also as high computation complexity, so they can hardly be applied to real-time systems. In order to improve the efficiency, a stereo matching algorithm was proposed by CUDA-accelerated adaptive window. It made use of color correspondence and geometric similarity to calculate the matching degree between central pixels. Using stream multiple processors and shared memory of GPU, the kernel functions of window correspondence were allocated to multiple threads which were conducted in parallel and the disparities of each pixel were calculated independently to reduce the computation time. Experiments on the international standard image sets show that the algorithm has greatly enhanced the efficiency while keeping good matching precision." @default.
- W2391103013 created "2016-06-24" @default.
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- W2391103013 date "2013-01-01" @default.
- W2391103013 modified "2023-09-25" @default.
- W2391103013 title "Stereo Matching Algorithm by CUDA-Accelerated Adaptive Window" @default.
- W2391103013 hasPublicationYear "2013" @default.
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