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基于机器视觉的三维灰度重构技术
引用本文:张勇斌. 基于机器视觉的三维灰度重构技术[J]. 光学与光电技术, 2008, 6(1): 62-64
作者姓名:张勇斌
作者单位:中国工程物理研究院机械制造工艺研究所,四川,绵阳,621900
摘    要:基于双目立体视觉三维重构原理,采用主动扫描实现特征匹配的三维灰度重构技术,通过特征结构光扫描物体表面,由经过预标定的两套成像传感器拍摄其图像,经过图像处理程序提取出特征点,完成特征匹配,再计算出物体表面三维轮廓,同时将成像传感器中的灰度信息映射到相应的特征点,从而实现特征点的三维信息和颜色信息的重构和匹配。该技术为三维彩色逼真场景的重构奠定了基础。

关 键 词:机器视觉  标定  三维灰度重构
文章编号:1672-3392(2008)01-0062-03
收稿时间:2007-06-15
修稿时间:2007-09-06

Three-Dimensional Gray Reconstruction Based on Machine Vision
ZHANG Yong-bin. Three-Dimensional Gray Reconstruction Based on Machine Vision[J]. optics&optoelectronic technology, 2008, 6(1): 62-64
Authors:ZHANG Yong-bin
Affiliation:ZHANG Yong-bin Institute of Machinery Manufacturing Technology,CAEP,Mianyang 621900,China
Abstract:In the paper, the technology of three-dimensional gray reconstruction based on binocular stereo vision system is presented. Feature matching is carried out with active scanning reconstructed light. The object surface is covered by characterized light and it is imaged by two sets of sensors which are pre-calibrated. Image processing program is utilized to obtain feature points in the images and match them. Then, three-dimensional information is calculated. On the other hand, the gray information can be projected onto the corresponding 3D feature points. Thus, 3D reconstruction and gray reconstruction are able to be gained.
Keywords:machine vision   calibration   three-dimensional gray reconstruction
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