Occlusion Detection and Patching of Occluded Regions in 3-D Point Clouds from Kinect Sensors

• Main Authors: Wang, Chia-Wei, 王嘉暐
• Other Authors: Tsai-Pei Wang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/06903894538913355037

碩士 === 國立交通大學 === 多媒體工程研究所 === 104 === With the advancement of cameras, it is easy to construct three dimension model from camera with IR to simultaneously get color and depth images, enhancing visual effect for users. The study in three-dimensional space model and related development have applications in urban modeling, spatial information systems and building models. However, there are usually occlusions from unwanted object in three dimension modeling. Therefore, it is worthwhile to develop effective methods for efficiently detecting and repairing occlusions in plane texture. Compared with existing image inpainting approaches, directly applied to RGBD image, depth image with occlusions may not produce satisfactory results. In order to repair occlusions on three-dimensional models, our approach aims to automatically detect occluded regions. The repair is done in the image frame of the planar structure and the result is then transformed back to the world frame. Our approach also apply texture mapping so that the plane can be rendered with better visual results.