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利用立体视觉的砂轮地貌三维表面重构

3-D surface reconstruction of monolayer grinding wheel topography based on stereo vision

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【作者】 王孟浩刘晏兵张小锋

【Author】 WANG Meng-hao1,LIU Yan-bing1,2,ZHANG Xiao-feng3,4 (1. Department of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; 2. School of Computer Science, UESTC, Chengdu 610054, China; 3. School of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 4. Department of Computer Science, Nanchang Institute of Aeronautical Technology , Nanchang 330034, China)

【机构】 重庆邮电学院计算机学院,重庆邮电学院计算机学院,南京航空航天大学机电工程学院 重庆400065,重庆400065电子科技大学计算机学院,四川成都610054,江苏南京210016南昌航空工业学院计算机系,江西南昌330034

【摘要】 提出一种利用双目图像以恢复砂轮地貌三维表面的方法,通过基于灰度的面匹配法对双目图像精确匹配,然后利用双目视觉成像原理,求出该样本点在世界坐标系的坐标。在此一系列样本点的世界坐标基础上,可得待恢复区域的三维外轮廓线和外轮廓面,通过面元内插法可以得到三维场景的精确恢复。实验结果表明,该算法能有效恢复砂轮地貌的三维表面信息。

【Abstract】 A method to reconstruct 3D surface of monolayer grinding wheel topography based on stereo vision is presented. Through precise matching on binocular images with module match method according to grey information , the coordinates in World Coordinate System of sample-points are obtained based on the principle of stereo vision. The contour line and skeleton map are obtained with those coordinates and then a 3D surface is reconstructed accurately by using the surface interpolation method. Experimental result shows that the method can effectively obtain 3D surface of monolayer grinding wheel topography.

【基金】 国家自然科学基金项目(90304004)
  • 【文献出处】 光电工程 ,Opto-electronic Engineering , 编辑部邮箱 ,2005年02期
  • 【分类号】TP391.4
  • 【被引频次】12
  • 【下载频次】225
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