Calibration and three-dimensional reconstruction using epipolar constraints on a structured light computer vision system

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Title: Calibration and three-dimensional reconstruction using epipolar constraints on a structured light computer vision system
Author: Lin, Changxing
Abstract: A new structured light computer vision system was developed to determine 3 dimensional geometry information of objects . The system was composed of a dot matrix pattern laser projector , and two cameras (labeled as A and B ) . Here , the camera A is called main camera . The cameras (B ) functions as a checking device to determine the correct image matching between the main image and the projector , so it is called checking camera . There are three contributions in this dissertation and they are as follows : First , a new camera calibration technique is provided , in which the image center , uncertainty scale factor , camera focal length , rotation matrix , and translation vector can be determined using at least seven noncoplanar calibration points ; the orthogonality of rotation matrix can be satisfied not only theoretical but also numerically with actual calibration ; all intrinsic and extrinsic parameters can be determined using the same set of data ; no assumption is needed for the world coordinate system setup ; and no nonlinear techniques are required . Second , a new linear approach for estimating the epipolar lines on the main camera (A ) , related to the projector , is developed . The existing methods can not guarantee that all image points on the same epipolar line on the main camera , related to the projector , have the same corresponding epipolar line on the projector . This is against the epipolar geometric constraints . The approach developed here can guarantee that all points on the same epipolar line on the main image , related to the projector , must have the same corresponding epipolar line on the projector . Third , two checking point equations are given to determine the correct image matching among the main image , the checking image , and the projector . The methods developed here , only require use of the epipolar lines on the projector , related to the main camera (A ) . Calibration of the projector is not required . A review of the state of the art is given in the first three chapters . All methods developed here were verified experimentally .
URI: http : / /hdl .handle .net /2346 /14349
Date: 1997-05

Citation

Calibration and three-dimensional reconstruction using epipolar constraints on a structured light computer vision system. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /14349 .

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