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Three Dimensional Reconstruction Based on Coded Structured Light Method

Author: XingWenZhe
Tutor: JiangGuang
School: Xi'an University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Code Light Camera Calibration Projector calibration Three-dimensional reconstruction Point cloud
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 202
Quote: 1
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Abstract


Reconstruction technique of three-dimensional shape of the object is a branch of computer vision technology is a combination of computer vision and computer image graphics processing research directions in production automation , robot vision , CAD , virtual reality , and medical and other fields have a wide range of application prospects. How to quickly and accurately obtain 3D shape information of the surface of the measured object , and based on these three-dimensional reconstruction of the object shape is an important and difficult research topic . This article compares the existing use of a variety of three-dimensional scanning technology , conduct a thorough and systematic theoretical and experimental study of optical three-dimensional reconstruction method based on the coding structure . Coding structure the core of the optical technology is on the projection pattern , coding design, various coding design of this projection pattern classification and comparison , select the phase shift using the Gray code encoding scheme , this method although a larger number of projection pattern , However , higher accuracy can be obtained , and the encoding method is simple, easy to implement. Camera and projector calibration technique is the core technology of the entire three-dimensional scanner system , solving external camera and projector parameters formula derivation and generate projection images experiments required ; the subpixel boundary and discrete points in three-dimensional reconstruction is a critical step , the article uses a simple sub-pixel boundary extraction method , and three-dimensional reconstruction of the discrete points formula derivation ; eventually get objects in three-dimensional point cloud .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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