Journal ArticleDOI
A flexible new technique for camera calibration
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TLDR
A flexible technique to easily calibrate a camera that only requires the camera to observe a planar pattern shown at a few (at least two) different orientations is proposed and advances 3D computer vision one more step from laboratory environments to real world use.Abstract:
We propose a flexible technique to easily calibrate a camera. It only requires the camera to observe a planar pattern shown at a few (at least two) different orientations. Either the camera or the planar pattern can be freely moved. The motion need not be known. Radial lens distortion is modeled. The proposed procedure consists of a closed-form solution, followed by a nonlinear refinement based on the maximum likelihood criterion. Both computer simulation and real data have been used to test the proposed technique and very good results have been obtained. Compared with classical techniques which use expensive equipment such as two or three orthogonal planes, the proposed technique is easy to use and flexible. It advances 3D computer vision one more step from laboratory environments to real world use.read more
Citations
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3D Position Estimation of a Person of Interest in Multiple Video Sequences : Person of Interest Recognition
TL;DR: This thesis will focus on recognizing a person of interest from several possible candidates, as well as estimating the 3D-position of a person and providing a graphical user interface for the system.
Proceedings ArticleDOI
Register based on efficient scene learning and keypoint matching for Augmented Reality system
TL;DR: This paper focuses on designing a robust and flexible registration method for wide-area augmented reality applications using scene recognition and natural features tracking techniques, and a linear structured SVM classifier is used to perform scene learning online.
Patent
Calibration method for calibrating line camera or one-dimensional micro-electromechanical system micro mirror or triangulation range finder in measurement arrangement, involves emitting laser beam in direction of calibration body
TL;DR: In this paper, the calibration method involves emitting a laser beam in direction of a calibration body, where a position and orientation of a profile curve (R) is estimated to determine the estimated profile curve when the positions and orientation are not known.
Proceedings ArticleDOI
Illumination System Modeling Techniques in Wire Bonding Pattern Recognition System
TL;DR: A method has been proposed to model the illumination characteristics of a typical wire bonder vision system that can be used to calibrate the illumination of the vision system to ensure the same level of illumination brightness across different machines, given the same lighting level setting.
Book ChapterDOI
Constructing Point Clouds from Underwater Stereo Movies
TL;DR: This paper presents a novel pipeline for dense point cloud scene reconstruction from underwater stereo images and video obtained with low-cost consumer recording hardware and demonstrates that this framework produces dense and accurate reconstructions for several tests.
References
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Journal ArticleDOI
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
TL;DR: In this paper, a two-stage technique for 3D camera calibration using TV cameras and lenses is described, aimed at efficient computation of camera external position and orientation relative to object reference coordinate system as well as the effective focal length, radial lens distortion, and image scanning parameters.
Book
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
TL;DR: A new technique for three-dimensional camera calibration for machine vision metrology using off-the-shelf TV cameras and lenses using two-stage technique has advantage in terms of accuracy, speed, and versatility over existing state of the art.
Proceedings Article
Three-dimensional computer vision: a geometric viewpoint
TL;DR: Results from constrained optimization some results from algebraic geometry differential geometry are shown.