摘要
实际图像往往既包含明暗信息又包含纹理信息,为了更有效地利用这些信息进行形状恢复,研究了一种结合明暗信息和纹理信息的形状恢复算法,用SFS方法对图像中的明暗信息进行处理,然后用SFT方法对图像中纹理信息进行分析,并结合SFS方法的结果对形状进行恢复.最后给出了该方法对图像的恢复结果并进行了分析.实验结果证明,该算法的性能优于SFS算法和SFT算法.
Real images usually contain not only shading information but also texture information. In order to utilize the infor- mation more efficiently, the shape recovery method based on combined shading information and texture informa- tion of an image is studied. The shading information of the image is analyzed by SFS method, and texture infor- mation is analyzed by SFF method. The shape is recovered by combining SFS method and SFF method. The shape recovery results are shown and analyzed. And the result shows that the algorithm studied has better performance than SFS algorithm and SFT algorithm.
出处
《天津工业大学学报》
CAS
北大核心
2012年第3期60-64,共5页
Journal of Tiangong University
基金
国家自然科学基金资助项目(61102150)
天津市科技支撑重点项目(10ZCKFGX00300)
关键词
三维重建
明暗信息
纹理信息
形状恢复算法
3-D shape recovery
shading information
texture information
shape recovery algorithm