A Novel Object Extraction Algorithm in 3D Model Reconstruction for Objects in Arbitrary Background

• Main Authors: Shih-Chang Li, 李士昌
• Other Authors: Yon-Ping Chen
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/67310729294383803364

碩士 === 國立交通大學 === 電機與控制工程系所 === 95 === This thesis proposed a novel algorithm for extracting foreground object in an image sequence of arbitrary background. The algorithm is mainly designed for the 3D object model reconstruction system. Hence, a camera tracker is adopted as a pre-processor to obtain the 3D structure information including feature point positions and camera poses of the image sequence. The proposed algorithm first separate the feature points into foreground and background, and then generates a mask from the foreground points to extract the object. Based on the proposed algorithm, a prototype of 3D object model reconstruction system is presented to verify the performance. The proposed system if capable of dealing with object image sequences of arbitrary background, which is not possible for the recent reconstruction systems. The experiment results show that, though it requires improvements in many aspects, the proposed algorithm and system prototype is functional in practice and should become more powerful after the improvements are done.