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Spatial Temporal Refinement on Depth Video Processing

Author: ChenGuoZuo
Tutor: DuZuo
School: Zhejiang University
Course: Information and Communication Engineering
Keywords: 3D Stereo matching Time Consistency Affine transformation
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 28
Quote: 0
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In recent years, with the development of technology , the traditional two-dimensional display technology is more and more difficult to meet the people's daily life , the needs of the entertainment , 3D stereoscopic display to become the next generation of display technology hotspot . The binocular parallax - based three-dimensional display technology is the most widely used in many 3D technology , the fastest growing , and there are a variety of types of products into the market . This paper first introduces the principle of a general three-dimensional display system geometry , and analysis of the different camera configurations , the parallax distribution law . Field , viewpoint synthesis of stereoscopic video encoding and 3DTV applications require accurate and smooth depth video processing, the depth video growing demand increasingly high demand in the three-dimensional display . Although binocular video stereo matching current research is still relatively small, but for a single frame image matching has been a hot research field of computer vision and difficult . Reference research scholars at home and abroad , this paper proposes a stereo matching algorithm based color segmentation of local optimization . By matching cost integrated histogram analysis , expansion and plane fitting step seed points , with the mean-shift segmentation results to ensure the accuracy and smoothness of the matching results . Middlebury standard image test , the algorithm obtained better results of the test data . Simple binocular stereo matching algorithm is applied to video processing , due to the lack of time consistency constraints , and split block plane assumption will fail in some cases , resulting parallax video results for frame-by-frame match may exist the parallax fluctuations and matching errors . Herein by the affine transformation of the video between successive frames to establish contact of the time-domain , binding of overlap between the front and rear frame divided block parallax variation smoothness assumptions, the use of the correlation between the left and right view , parallax results unreliable region selectively optimized most matching error correction , easing parallax fluctuations between successive frames image , to obtain a more accurate , smooth , stable the parallax video results effectively enhance the video quality of the parallax .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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