PDF-Camera Calibration(Trucco, Chapter 6)

2Consider the above calibration patternitconsists of twoorthogonal gridsequally spaced black squares drawn on white perpendicular planesassume that the world reference frame is centered at t. 1. Color 2. Camera models, camera calibration 3. Advanced image pre - processing e Line detection e Corner detection e Maximally stable extremal regions 4. Mathematical Morphology e binary e gray - FADGI. and . Metamorfoze. Camera Color Calibration at National Gallery of Art. Kenneth N. Fleisher. Color Scientist. National Gallery of Art. Cultural Heritage Imaging Professionals . Conference. Stanford, CA. Correlation. Egil Fagerholt. 25 August 2015. Reference image. No deformation. Current image. At deformed stage. Disp. Y. Disp. X. Strain. Load cell. Linear transducer. DIC – Basic . Principle. Example: Uniaxial tension test. Sean R. Stratton. TA-All Meeting – June 2010. Motivation. We’re still trying to understand the relative energy scale differences between our FDs.. The UVLED was used to . cross-calibrate all three FD sites.. -. Cognitive Robots. Dr. Claus Lenz. Robotics and Embedded Systems. Department of Informatics. Technische. . Universität. . München. http:. //www6.in.tum.de/Main/. TeachingWs2014LCCognitiveRobotics. C. omputer . V. ision. CH6. Feature-based Alignment. Professor: Prof. . Fuh. Presenter: Nick Chu. . (. 祝成豪. ). Taught. . Way. Cover the main parts of textbook . c. hapter 6. . Extra resources on EGGN 512 course videos. From Electrical Engineering & Computer Science, Colorado School of Mines (CSM/Mines). M. ulticam. .. Ettienne Cox (. ecox@csir.co.za. ). Ettienne. . Cox. CSIR . - . Where do we fit in. Multicam. background. Multicam. Commercialization. C. urrent . status. Future prospects. . Content. and calibration. 15-463, 15-663, 15-862. Computational Photography. Fall 2018, Lecture 13. http://graphics.cs.cmu.edu/courses/15-463. Course announcements. Homework 3 is out.. - Due October 12. th. . 136 137 DIVISION OF MMUNOGENETICS DEPARTMENT OF PEDIATRICS 2012 ANNUAL REPORT DEPARTMENT OF PEDIATRICS 2012 ANNUAL REPORT 139 138 FACULTSTAFFMassimo Trucco, MDYong Fan, PhDTatyana Votyakova, MD, PhDth Perspective projection in homogenous coordinates. Matrix transformations in 2D. Translation. Scaling of Image x and y (conversion from “meters” to “pixels”). Added skew if image x and y axes are . results. Icíar. Montilla, . M. . Reyes, M. . Núñez. , J. Marco de la . R. osa, O. . Tubio. , M. . Puga. (. Instituto. de . Astrofísica. de Canarias). Ali . Basden. . (Durham University). GTCAO overview. EECS 442 – Prof. David . Fouhey. Winter 2019, University of Michigan. http://web.eecs.umich.edu/~fouhey/teaching/EECS442_W19/. Administrivia . Homework 4 due . Sunday. Homework 4 due Thursday (1 week). Final perspective projection. Camera . intrinsics. : how your camera handles pixel. Changes if you change your camera . Camera . extrinsics. : where your camera is relative to the world. Changes if you move the camera. Resectioning. Basic equations. Basic equations. minimal solution. Over-determined solution. 5½ correspondences needed (say 6) . P has 11 dof, 2 independent eq./points. n .  6 points. minimize subject to constraint .