摘要
以激光三维扫描仪获得的人体数据的三维彩色数字化过程为例,讨论了删除噪声点、多传感器数据对齐、多传感器数据统一的数据预处理及人体数据重建、网格模型简化、网格平滑和网格细化的三维模型重建算法及特点,给出了人体数据处理实例,最终获得了三维人体模型。并采用直接处理彩色传感器获取的二维彩色图像实现三维彩色数据颜色边界提取方案,得到三维彩色数字化模型。
The digitalization process of 3D human body color data captured by the 3D laser scanner is taker as the example to discuss the algorithms commonly used during data pretreatment which includes noise point deletion, aiming at multi-sensor scan data, and merge multi-sensor data, and 3D human body model reconstruction which includes human data reconstruction, triangle meshes decimation, mesh smoothing and mesh subdivision, and features of the algorithms. A processing instance is given and the ideal 3D human body model is obtained. By direct processing of the 2D color images captured by color sensors, the color edge of 3D color data is extracted, and finally, the 3D color digitalization model is constructed.
出处
《激光与光电子学进展》
CSCD
北大核心
2007年第1期18-22,共5页
Laser & Optoelectronics Progress
基金
天津市科技攻关计划培育项目(05YFGPGX-05000)
国家自然科学基金资助项目(60277009)。
关键词
三维彩色数字化
点云预处理
三维模型重建
颜色边界提取
3D and color digitization
point cloud pretreatment
3D model reconstruction
color edge extraction