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A vehicle detection system is realized in two stages: hypothesis generation (HG) and hypothesis verification (HV). HG adopts frame division and shadow detection to find possible candidates of vehicles within a plausible region of the image frame. Then, during HV, object ratio constraint is first used to eliminate unreasonable hypotheses. Afterward, based on the training results of the support vector...
A low-latency design of Depth-Image-Based Rendering (DIBR) stereoscopic image generation hardware is presented. We propose a new algorithm that performs the operations of warping and hole-filling in parallel so that the overall computation latency is significantly reduced. Furthermore, two new approaches, “raised disparity around edge” and “horizontal mirroring” are employed to reduce visual artifacts...
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