Details Details PDF BIBTEX RIS Title LEDs based video camera pose estimation Journal title Bulletin of the Polish Academy of Sciences: Technical Sciences Yearbook 2015 Volume 63 Numer No 4 Authors Sudars, K. ; Cacurs, R. ; Homjakovs, I. ; Judvaitis, J. Divisions of PAS Nauki Techniczne Coverage 897-905 Date 2015[2015.01.01 AD - 2015.12.31 AD] Identifier DOI: 10.1515/bpasts-2015-0102 ; ISSN 2300-1917 Source Bulletin of the Polish Academy of Sciences: Technical Sciences; 2015; 63; No 4; 897-905 References Harlick (1991), Anallysis and solutions of the three point perspective pose estimation problem Computer Vision and Pattern Recognition, Conf, 1. ; Triggs (1999), Camera pose and calibration from or known points Computer Vision, Int Conf, 278. ; Lepetit (2009), EPnP : an accurate solution to the PnP problem Vision, Int J Computer, 81, 155. ; Calonder (2010), BRIEF : binary robust independent elementary features Notes in, Computer Vision ECCV Lecture Computer Science, 6314. ; Sampson (1982), Fitting conic sections to very scattered data : an iterative refinement of the Bookstein algorithm Computer Vision and Image Processing, Graphics, 18, 97. ; Armangue (2003), Overall view regarding fundamental matrix estimation Image and Vision, Computing, 21, 5. ; Haranz (2011), Camera pose estimation using particle filters Conf on Indoor Positioning and Indoor Navigation, IEEE Int, 1. ; Higgins (1981), A computer algorithm for reconstructing a scene from two projections, Nature, 293. ; Quan (1991), Linear point camra pose determination IEEE Transaction on Pattern Analysis and Machine, Intelligence, 21, 774. ; Zisserman (2003), Multiple view geometry in computer vision Cambridge University Press, Cambridge. ; Dhome (1989), Determination of the attitude of objects from a single perspective view Pattern Analysis ad Machine, IEEE Trans Intelligence, 11, 1265. ; Hartley (1992), Estimation of relative camera positions for uncalibrated cameras Computer Vision, Proc Eur Conf. ; Rosin (1999), Measuring corner properties Computer Vision and Image, Understanding, 73, 291. ; Faugeras (1992), What can be seen in three dimensions with an uncalibrated stereo rig ? Lecture Notes in, Computer Science, 588. ; Faessler (2014), A Monocular pose estimation system based on infrared LEDs Conf on Robotics and Automation, IEEE Int, 907. ; Lowe (1991), Fitting parameterized three - dimensional models to images and Pattern Analysis and Machine Inteligence, IEEE Trans, 13, 441. ; Fischler (1981), Random sample consensus : A paradigm for model fitting with applications to image analysis and automated cartography, Comm Assoc, 14, 381. ; DeMenthon (1995), Model - based object pose in lines of code Vision, Int J Computer, 15, 123. ; Horaud (1989), An analytic solution for the perspective - point problem Computer Vision and Image, Graphics Processing, 4, 33, doi.org/10.1016/0734-189X(89)90052-2 ; Fiore (2001), Efficient linear solution of exterior orientation on Pattern Analysis and Machine, IEEE Trans Intelligence, 23, 140. ; Strang (2009), Introduction to Linear Algebra Wellesley - Cambridge Press, Cambridge. ; Lu (2000), Fast and globally convergent pose estimation from video images, IEEE Trans, 22, 610.