Abstract:This paper presents an image-based threedimensional (3-D) reverse modeling system. We take advantage of stereo vision-based method to acquire geometric information through sampling the surface of a physical object mounted on end effectors of a 4-DOF planar robot. Based on real-world sampling datasets, a realistic 3-D graphical model can be automatically constructed. We provide a new approach to system calibration, geometric information acquisition, and surface parameterization, and also implement a prototype s… Show more
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