Title: The 3-Point Method: A Fast, Accurate and Robust Solution to Vanishing Point Estimation
Authors: Saini, Vinod
Gade, Shripad
Prasad, Mritunjay
Chatterjee, Saurabh
Citation: WSCG 2013: Communication Papers Proceedings: 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation withEUROGRAPHICS Association, p. 151-158.
Issue Date: 2013
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Communications-proceedings.pdf
ISBN: 978-80-86943-75-6
Keywords: mizející body;kalibrace kamery;metoda tří bodů
Keywords in different language: vanishing points;camera calibration;3-point method
Abstract: Vanishing points can provide information about the 3D world and hence are of great interest for machine vision applications. In this paper, we present a single point perspectivity based method for robust and accurate estimation of Vanishing Points (VPs). It utilizes location of 3 collinear points in image space and their distance ratio in the world frame for VP estimation. We present an algebraic derivation for the proposed 3-Point (3-P) method. It provides us a non-iterative, closed-form solution. The 3-P results are compared with ground truth of VP and it is shown to be accurate. Its robustness to point selection and image noise is proved through extensive simulations. Computational time requirement for 3-P method is shown to be much less than least squares based method. The 3-P method is extremely useful for accurate VP estimation in structured and well-defined environments.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2013: Communication Papers Proceedings

Files in This Item:
File Description SizeFormat 
Saini.pdfPlný text2,01 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10658

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.