Improved 3D Facial Reconstruction of Human Face Using Shape from Shading

• Main Authors: Yu-teng Chang, 張譽騰
• Other Authors: Kuo-Sheng Cheng
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/14766973178263575868

碩士 === 國立成功大學 === 醫學工程研究所碩博士班 === 97 === From the 3D facial model, clinician can easily use it as a tool to predict patient’s facial morphological change before surgery. This study proposes and presents an improved image acquisition system using shape-from-shading technique. Firstly, a rectangular arrangement of LED array is designed and constructed to simulate a flat type of light source to meet the assumption of shape-from-shading technique. Secondly, the 850 nm wavelength light within the IR spectrum is used to alleviate the interference problem of ambient light. Thirdly, the co-axes of radiant and reflected light concept is applied to eliminate shadows effect. Combining all the above-mentioned methods, an improved image acquisition system for 3D reconstruction of human face basing on the shape-from-shading technique is developed for real applications. In addition, the reconstruction algorithm integrating the viscosity solution approach is applied and implemented to solve shape from shading problem. Fast marching method is also used to speed up the computation of the algorithm. From the experimental results, the root mean square error between the proposed reconstruction method and CT reconstruction method for human head phantom is about 5.6 mm. The errors ranges from 15.2 to -12.5 mm. Finally, the proposed system is applied for real human face reconstruction for its feasibility.