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Realtime stereo and motion analysis on passive video images using an efficient image-to-image comparison algorithm requiring minimal buffering
Realtime stereo and motion analysis on passive video images using an efficient image-to-image comparison algorithm requiring minimal buffering
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机译：使用高效的图像间比较算法对被动视频进行实时立体声和运动分析，所需的缓冲最少
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摘要
A compact, inexpensive, real-time device for computing dense stereo range and motion field images, which are fundamental measurements supporting a wide range of computer vision systems that interact with the real world, where objects move through three-dimensional space includes a novel algorithm for image-to-image comparison that requires less storage and fewer operations than other algorithms. A combination of standard, low-cost and low-power components are programmed to perform algorithm and performs realtime stereo and motion analysis on passive video images, including image capture, digitization, stereo and/or motion processing, and transmission of results.
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