Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications

碩士 === 國立中興大學 === 電機工程學系所 === 100 === This thesis proposes a real-time three-dimensional (3D) human body significant point estimation method by using two-dimensional (2D) extracted body contours. The located 3D body significant points include the head, center of the body, tips of the feet and the ha...

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Main Authors: Hong-Jhang Jiang, 江鴻璋
Other Authors: Chia-Feng Juang
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/11005705858237059800
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spelling ndltd-TW-100NCHU54410542016-11-06T04:19:14Z http://ndltd.ncl.edu.tw/handle/11005705858237059800 Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications 基於立體攝影機之三維虛擬人型建立及其互動式娛樂應用 Hong-Jhang Jiang 江鴻璋 碩士 國立中興大學 電機工程學系所 100 This thesis proposes a real-time three-dimensional (3D) human body significant point estimation method by using two-dimensional (2D) extracted body contours. The located 3D body significant points include the head, center of the body, tips of the feet and the hands, the shoulders, the elbows, and the knees. This thesis uses one stereo vision camera to capture both the left and right sets of image sequences at the same time. An Angle-Compensated RGB (AC-RGB) segmentation method is used to segment a moving object from the background in RGB color space and reduce the influence of shadow. In each of the left and right images, 2D locations of the head and tips of the feet and the hands are obtained based on 2D contour convex points, body geometrical characteristics, skin color, and temporal information. Locations of the elbows and the knees are obtained by using the skeleton pixels of a 2D body silhouette. The depth of each significant point is obtained by using the 2D locations of the same point found in the left and right images. The Kalman filter algorithm is used to correct locations of the 3D significant body points and predict the points with mismatching locations from the left and right images. The 3D locations of the significant points and the estimated orientation of the human body are sent to the Virtools software to reconstruct a virtual 3D human model. Experimental results show that the AC-RGB human body segmentation outperforms several segmentation methods used for comparison. This thesis sets up a real-time virtual 3D human model system to verify the effectiveness of the proposed approach. To show the potential of the system, the system is also applied to some 3D interactive entertainment games. Chia-Feng Juang 莊家峰 2012 學位論文 ; thesis 86 en_US
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description 碩士 === 國立中興大學 === 電機工程學系所 === 100 === This thesis proposes a real-time three-dimensional (3D) human body significant point estimation method by using two-dimensional (2D) extracted body contours. The located 3D body significant points include the head, center of the body, tips of the feet and the hands, the shoulders, the elbows, and the knees. This thesis uses one stereo vision camera to capture both the left and right sets of image sequences at the same time. An Angle-Compensated RGB (AC-RGB) segmentation method is used to segment a moving object from the background in RGB color space and reduce the influence of shadow. In each of the left and right images, 2D locations of the head and tips of the feet and the hands are obtained based on 2D contour convex points, body geometrical characteristics, skin color, and temporal information. Locations of the elbows and the knees are obtained by using the skeleton pixels of a 2D body silhouette. The depth of each significant point is obtained by using the 2D locations of the same point found in the left and right images. The Kalman filter algorithm is used to correct locations of the 3D significant body points and predict the points with mismatching locations from the left and right images. The 3D locations of the significant points and the estimated orientation of the human body are sent to the Virtools software to reconstruct a virtual 3D human model. Experimental results show that the AC-RGB human body segmentation outperforms several segmentation methods used for comparison. This thesis sets up a real-time virtual 3D human model system to verify the effectiveness of the proposed approach. To show the potential of the system, the system is also applied to some 3D interactive entertainment games.
author2 Chia-Feng Juang
author_facet Chia-Feng Juang
Hong-Jhang Jiang
江鴻璋
author Hong-Jhang Jiang
江鴻璋
spellingShingle Hong-Jhang Jiang
江鴻璋
Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications
author_sort Hong-Jhang Jiang
title Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications
title_short Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications
title_full Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications
title_fullStr Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications
title_full_unstemmed Stereo Camera-based Real-Time 3D Virtual Human Construction with Interactive Entertainment Applications
title_sort stereo camera-based real-time 3d virtual human construction with interactive entertainment applications
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/11005705858237059800
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