| Summary: | 碩士 === 國立中正大學 === 資訊工程研究所 === 99 === This thesis presents a low complexity 3D video/image depth generation algorithm and its realization on an embedded system. This method could generate depth information based on a single view 2D video/image automatically for stereo applications. Owing to different scene characteristics of videos/images, we propose a classification mechanism which adopts edge points and vanishing lines in the 2D pictures for classifying videos/images to scenery feature, vanishing region feature and close-up feature. According to different features, we process this 2D content with the proposed low complexity techniques for generating depth map. Especially we propose a human detection method for strengthening the depth information in pictures with persons. Finally, we propose a post-processing method to repair the automatically generated depth map. With good quality in the generated depth map, we achieve about 75% in complexity reduction using the proposed algorithm. By the feature of low complexity, this algorithm could implement in hardware or embedded system software for all kinds of mobile device and digital photo frame.
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