Based On The Surface Structure Of The Light Projection Method Of 3d Object Shape Detection And Reconstruction System

3D shape measurement and reconstruction is a branch of computer image processing and a research direction that integrates computer vision with computer image and graph processing. It has a wide application in the fields of automation process, machine vision, CAD, virtual reality, medicine and so on. It is an important but difficult problem that how we can obtain the 3D surface information of an object accurately and rapidly and recover the 3D shape by these information. This dissertation presents a method named Surface Structured Light Projection Triangle Measurement, by which we can capture the surface topography of a 3D object without any contact. The deformed grating pattern appears when the standard grating pattern is projected onto the specimen and observed from the direction that has an angle from the projection axis. The deformed grating pattern image contains information about the surface topography of 3D object. The deformed grating pattern is input into a computer by CCD camera and processed by a series of procedure: image pretreatment (cutting and filtering), thresholding and thinning and then is analyzed to obtain the 3D coordination of the superficial of the measured object. On the basis of former system, we realize 3D point clouds reconstruction. The point clouds (3D coordination of the superficial of the measured object) is read and showed on the screen. We can easily and rapidly realize some complicated point clouds disposing functions such as rotating, transferring, zooming, thinning and sampling. By pretreatment such as grouping, sorting, sampling and coordination amending we realize line reconstruction. We present a simple and effective triangulation algorithm based on our project, then we can realize surface reconstruction. Finally, an amendatory theory of measurement is introduced.