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3D Reconstruction about 2D Images in Machine Vision

Author: ZhangHu
Tutor: FangJianJun
School: North China University of
Course: Mechanical and Electronic Engineering
Keywords: Machine Vision Binocular vision Camera Calibration Stereo matching
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 1045
Quote: 21
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Abstract


Intelligent machines with the development of human society has been more widely used in industrial production and human life . Intelligent machines to better serve the human , the machine to have decision-making capacity is similar to the human eye perception and brain scientists working tirelessly direction . Machine vision research aim is to make machines with similar human visual perception . The three-dimensional reconstruction of machine vision to achieve the key elements of the three-dimensional reconstruction of the object feature points , you can get through the constructor to obtain the feature points of the object based on the object 's three-dimensional morphology . The focus of the research is the binocular vision system based on machine vision binocular stereo vision method to construct three-dimensional coordinates of the feature points of the object space , space point reconstruction . Camera image acquisition card control subjects based PC, a frame grabber simultaneous control of two camera binocular vision hardware system to complete the image of the same object from different points in space . The then VC program , image acquisition card convert a color image to grayscale image , and image sharpening , after Harris corner detection assay corner , as a follow-up to match the characteristics of point . Camera calibration using Tsai two-step method , grid template as a calibration plate calibrate the camera left and right , respectively , to get the camera 's internal and external parameters . With two cameras for image acquisition of a workpiece image pair , respectively the two images after pretreatment Harri corner detection feature points around the image feature points , and then based on the method of epipolar constraint initial match after , the left and right image feature point matching feature points of the gray-scale correlation as a criterion . Calculated according to the three-dimensional coordinates of the spatial points on the basis of the guide to the two internal and external parameters of the camera and the completion of the left and right image feature points matching mathematical models to achieve a three-dimensional reconstruction of the feature point , gives the space coordinates of the feature point . And in the last of the three-dimensional reconstruction of the other methods to do the introduction .

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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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