Chip Design and Implementation of Depth Map Reconstruction for 3DTV System

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 98 === Glasses based 3D displays are familiar 3D product and technologies. However, human is unquestionably less receptive to wear glasses when we watch 3D video. In the long run, auto-stereoscopic display is foreseen to be the main 3D display technologies in the fut...

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Main Authors: Jung-Ching Chiou, 邱鐘慶
Other Authors: 范育成
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/3q52ar
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spelling ndltd-TW-098TIT056520052019-05-15T20:33:23Z http://ndltd.ncl.edu.tw/handle/3q52ar Chip Design and Implementation of Depth Map Reconstruction for 3DTV System 應用於三維立體電視之深度影像重建系統晶片設計與實現 Jung-Ching Chiou 邱鐘慶 碩士 國立臺北科技大學 電腦與通訊研究所 98 Glasses based 3D displays are familiar 3D product and technologies. However, human is unquestionably less receptive to wear glasses when we watch 3D video. In the long run, auto-stereoscopic display is foreseen to be the main 3D display technologies in the future. However, auto-stereoscopic display requires large amount data of multi-view images. To effectively compress and reduce multi-view images is a challenge. Reconstructing depth map is one of the more effective solutions to overcome this challenge. This thesis introduces three-parallel-camera arrangement system to reconstruct depth map. At first, we adopt hierarchical disparity estimation to locate disparity vector of middle image using right view and left view information. This approach was taken during block matching. Larger block provides matching stability and smaller block supplies matching accuracy. Hierarchical disparity estimation in this case would ensure benefit to reduce errors during block matching and occlusion. Then, consistency check would detect mismatch block and fill in reasonable disparity vector. This approach would not only identify and repair errors for disparity vector but also produce clearer outline of images after transforming into depth map. Lastly, disparity vector is converted into depth value using triangulation algorithm to reconstruct high quality depth map. The main goals of this thesis are to create fine depth image with hierarchical disparity estimation and to modify disparity increasing quality of depth map. This would ensure both stability and accuracy during block matching. Besides, disparity modification would reduce errors and provide reasonable correction for mismatching block and disparity vector. The presented scheme provides a color image and accuracy depth map for 3D video system. The proposed solution solves related problems and give a well solution in this thesis. 范育成 2010 學位論文 ; thesis 94 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 98 === Glasses based 3D displays are familiar 3D product and technologies. However, human is unquestionably less receptive to wear glasses when we watch 3D video. In the long run, auto-stereoscopic display is foreseen to be the main 3D display technologies in the future. However, auto-stereoscopic display requires large amount data of multi-view images. To effectively compress and reduce multi-view images is a challenge. Reconstructing depth map is one of the more effective solutions to overcome this challenge. This thesis introduces three-parallel-camera arrangement system to reconstruct depth map. At first, we adopt hierarchical disparity estimation to locate disparity vector of middle image using right view and left view information. This approach was taken during block matching. Larger block provides matching stability and smaller block supplies matching accuracy. Hierarchical disparity estimation in this case would ensure benefit to reduce errors during block matching and occlusion. Then, consistency check would detect mismatch block and fill in reasonable disparity vector. This approach would not only identify and repair errors for disparity vector but also produce clearer outline of images after transforming into depth map. Lastly, disparity vector is converted into depth value using triangulation algorithm to reconstruct high quality depth map. The main goals of this thesis are to create fine depth image with hierarchical disparity estimation and to modify disparity increasing quality of depth map. This would ensure both stability and accuracy during block matching. Besides, disparity modification would reduce errors and provide reasonable correction for mismatching block and disparity vector. The presented scheme provides a color image and accuracy depth map for 3D video system. The proposed solution solves related problems and give a well solution in this thesis.
author2 范育成
author_facet 范育成
Jung-Ching Chiou
邱鐘慶
author Jung-Ching Chiou
邱鐘慶
spellingShingle Jung-Ching Chiou
邱鐘慶
Chip Design and Implementation of Depth Map Reconstruction for 3DTV System
author_sort Jung-Ching Chiou
title Chip Design and Implementation of Depth Map Reconstruction for 3DTV System
title_short Chip Design and Implementation of Depth Map Reconstruction for 3DTV System
title_full Chip Design and Implementation of Depth Map Reconstruction for 3DTV System
title_fullStr Chip Design and Implementation of Depth Map Reconstruction for 3DTV System
title_full_unstemmed Chip Design and Implementation of Depth Map Reconstruction for 3DTV System
title_sort chip design and implementation of depth map reconstruction for 3dtv system
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/3q52ar
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