摘要
首先对深度图像重新采样进行多解析度三维网格建立的需求进行介绍,然后介绍两种多解析度网格的生成算法:基于均匀采样算法,基于网格表面曲率特征的采样算法.并且分析了两种采样算法各自的优缺点.通过实验可以看出这两种算法都有非常好的效果.
Firstly, the requirement for building multi - resolution mesh of 3D basing on range image was introduced in this paper. Secondly two algorithms of building multi - resolution mesh were introduced: algorithms basing on uniform sampling and curvature characteristic on mesh surface. These two algorithms'good and bad qualities were analyzed. Through experiments, we can get a conclusion that two kinds of algorithms are very efficient.
出处
《哈尔滨师范大学自然科学学报》
CAS
2007年第5期73-77,共5页
Natural Science Journal of Harbin Normal University
基金
黑龙江省高等教育科学研究"十一五"规划课题(115C-339)
关键词
深度图像
均匀采样
随机采样
算法
Range Image
Uniform sampling
Random sampling
Algorithms
