PPT-Camera calibration Triangulation

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 . 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 - 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.. -2--Consider the above calibration pattern:*itconsists of twoorthogonal grids.*equally spaced black squares drawn on white, perpendicular planes.*assume that the world reference frame is centered at t Odilon Redon, Cyclops, 1914. Our goal: Recovery of 3D structure. Recovery of structure from one image is inherently ambiguous. x. X?. X?. X?. Our goal: Recovery of 3D structure. Recovery of structure from one image is inherently ambiguous. Syllabus. Principle . of . Trilateration. Reduction . of . observation. Principle . and classification . of . Triangulation . System. Triangulation chains. , Strength of Figures. , . Station marks and Signals,. Computational Geometry (EECS 396/496) – October 2nd, 2017. Art Gallery Problems. Problem. : Given an art gallery, place cameras which put together can see the whole gallery.. The cameras can’t move, but can rotate 360°.. 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. . of . Trilateration. Reduction . of . observation. Principle . and classification . of . Triangulation . System. Triangulation chains. , Strength of Figures. , . Station marks and Signals,. . 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. 1. Principle . of . Trilateration. Reduction . of . observation. Principle . and classification . of . Triangulation . System. Triangulation chains. , . Strength of Figures, Station marks and Signals, Satellite station, . 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). II. Existence and complexity of . a triangulation. Outline: . III. Legal Triangulation. I. Terrain.  .  .  .  .  . Terrain. Terrain. : 2-dimensional (2D) surface in 3D . space such that every vertical line intersects . 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 .