由深度数据重建三维物体的一种方法
A Method of 3D Objects Reconstruc-Tion from Range Data
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摘要: 讨论由深度数据重建三维物体的一种新方法.其基本思想是根据由基于物体旋转的主动 式三角法三维信息获取系统所获取的物体深度数据作为该物体的型值点.再根据型值点进行 网格划分,以便形成满足一定约束条件的空间拓扑网格.最后使用有理Bezier三角曲面片与 矩形曲面片相结合的方法进行曲面拟合与逼近.Abstract: In this article, we present a new technique for the reconstruction of 3D object models from its range data that obtained from an active 3D range finder based on object rotating. Our technique is to transform range data into Bezier control net points, then we use rational Bezier surfaces as approximation surfaces. In order to use this method, we discuss the problems of geometric continuity for rational Bezier surfaces. This problem is an open problems of CAGD. Concise conditions of first order and second order geometric continuity for rational triangular Bezier surfaces and between rational triangular Bezier patches and rational rectangular Bezier pat- ches are given. Meanwhile, the transformation formula between rational triangular patches and rational rectangular patchesare is obtained.
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Key words:
- Range data /
- 3D reconstruction /
- surface modeling
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