An Iterative-Optimization based Parameterization for Surface Painting Systems

• Main Author: 鄭仁豪
• Other Authors: 莊榮宏
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/24273312825162296832

碩士 === 國立交通大學 === 資訊工程系所 === 93 === Surface painting is a procedure that allows the users to paint onto a surface directly. The painting strokes are stored in a texture via surface parameterization techniques. In current surface painting systems, the underlying surface parameterization is fixed during the painting process. Such a parameterization is not sensitive to the frequency spectrum of the color signal introduced by painting strokes. To associate the regions of higher color signal variation with more texture samples, we need to do the re-parameterization according to users strokes at interactive rates. In this thesis, we propose a re-parameterization scheme that is based on an iterative-optimization aiming to allocate more texture samples for regions of high signal variation and to perform at an interactive rate as well. Keywords: surface painting, surface parameterization, texture generation.