| We live in a three-dimentional (3D) world, whereas conventional cameras acquire only two-dimentional images and loss depth information.This factor inherently restricts the potential applications of machine vision greatly. To obtain 3D map including depth information, is one of the key theory and technology in machine vision field.The goal of 3D vision measurement is to receive the shape, position and attitude of 3D object to perceive and understand the 3D world by using this depth map. Many methods of 3D measurement have been developed these years. We focused on structured light spatial encoding method, because for 3D information acquiration of the tested object, only one image is needed to be captured by the camera by this method, so it has some advantigies such as high resolution, easy implementation and fast measurement. But there are lots of large curved surface in reality, we can not use a picture to acquire an entire panorama of a object, so we have to obtain serveral pictures according to measuring objects by pieces, and useing image mosaic technology to get the whole panorama of object. The thesis is study the 3D measurement of large curved surface based on encoding structured light. The encoding structured light uses RGB and their anti-color to generate color code sequence. In according to decode procedure, we can acquire 3D coordinate of object measured, finally to recover the surface of objects. We adopt encoding structured light to acquire the coordinate of several pictures, and we put a seris of symbol circle on the surface of object, according to Hough circle test and curve to get coordinate of the centre of a circle, and make sure the cut-off line to put 3D coordinate together, finally recovering the surface of objects.The simulation of projector, camera and 3D object in 3ds max are also studied, a 3D simulating measuring system was established. A lot of simulation experiments are performed and surface of 3D objects is reconstructed. |
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