3D Object Point Structure Construction Using a Digital Camera

• Main Authors: Chnag-Hao Wu, 吳昶澔
• Other Authors: Zen Chen
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/60517210685522107467

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === The current algorithms for recovering the scene structure and camera motion from an image stream require a set of well-tracked features. Such a set is in general not available in practical applications. Thus, there is a need for making the recovering structure and motion algorithm deal effectively with missing features and data noise in the tracked features. We propose a new scheme combining the multi-view reconstruction method and the iterative reweighted least square method. This scheme is able to deal effectively with the missing features and noise in the individual features. Furthermore, the proposed scheme includes an auto-calibrated method for Euclidean reconstruction using the iterative absolute dual quadric framework. The robustness of the proposed scheme is tested on both the synthetic data and the real data. For the real data, the scheme is applied to the human head recognition and the dense reconstruction of human head geometry.