Generation of 3-D Models Based on Image Fusion of Range Data
暂无分享,去创建一个
This paper presents a method for measuring the entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures the complete surface model of the object automatically and in the non-contact way. The method employs two range finders and a turn-table cooperatively: a fixed range finder using a turn table measures rough surface data of the objects, and a hand-eye range finder finds the deficit of surface data due to self occlusion and makes it up by changing to it. The 3D shape is represented in an extended octree in computer. The octree representation allows us to keep more precise shape in smaller memory storage. An experimental system based on the method shows us the good flexibility and performance of the method for 3D digitizing.
[1] Jake K. Aggarwal,et al. Model Construction and Shape Recognition from Occluding Contours , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[2] J. Lopez-Krahe,et al. Acquisition And Representation Of Object Surface Data , 1986, Other Conferences.
[3] K. Sato,et al. Range imaging system utilizing nematic liquid crystal mask , 1987 .
[4] Y. Kobayashi,et al. Acquisition of 3-dimensional objects shape using slit-ray projection and reconstruction of surface model , 1990 .