Automated Texture Mapping 3D Object Surface System Development

• Main Authors: Yi-Sheng Tsai, 蔡易昇
• Other Authors: Hui-Huang Hsu
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/95558954865262124193

碩士 === 淡江大學 === 資訊工程學系碩士班 === 99 === In this research, we proposed an approach for 3D object texture mapping and an automatic recovery 3D object surface system. Users don’t need to select feature points for mapping by themselves, it’s the most difficult challenge of 3D object texture mapping in this paper., the first step, we load a 3D object model and compute the SDF value by SDF algorithm. And then, we use GMM algorithm to segment the 3D object model and modify the results without noise. After above steps, we compare the different parts between clustering results and textures. Finally, we can recover the 3D object model according to these matching results. With this technology, we just need a 3D model and texture with different views to get a new 3D model with our own person’s photos. This method is total automatically in texture mapping for 3D model.