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Effective Detection of Vanishing Points Using Inverted Coordinate Image Space  

이정화 (경북대학교 전자전기컴퓨터학부)
서경석 (경북대학교 전자전기컴퓨터학부)
최흥문 (경북대학교 전자전기컴퓨터학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.6, 2004 , pp. 147-154 More about this Journal
Abstract
In this paper, Inverted Coordinates Image Space (ICIS) is proposed as a solution for the problem of the unbounded accumulator space in the automatic detection of the finite/infinite vanishing points in image space. Since the ICIS is based on the direct transformation from the image space, it does not lose any geometrical information from the original image and it does not require camera calibration as opposed to the Gaussian sphere based methods. Moreover, the proposed method can accurately detect both the finite and infinite vanishing points under a small fixed memory amount as opposed to the conventional image space based methods. Experiments are conducted on various real images in architectural environments to show the advantages of the proposed approach over conventional methods.
Keywords
Vanishing point detection; inverted-coordinates image space; bounded accumulator space;
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1 H. Nakatami, S. Kimura, and O. Saito, 'Extraction of vanishing point and its application to scene analysis based on image sequence,' ICPR, pp. 370-372, Miami, U.S.A., Dec. 1980
2 T. Tuytelaars, L. V. Gool, M. Proesmans, and T. Moons, 'The Cascaded Hough Transform as an Aid in Aerial Image Interpretation,' ICCV'98, pp. 67-72, Bombay, India, Jan. 1998   DOI
3 V. Cantoni, L. Lombardi, M. Porta, and N. Sicard, 'Vanishing Point Detection: Representation Analysis and New Approaches,' ICIAP'2001, pp. 90-94, Palermo, Italy, Sept. 2001   DOI
4 C. Rother, 'A new Approach to Vanishing Point Detection in Architectural Environments,' Image & Vision Computing, vol. 20, pp. 647-655, 2002   DOI   ScienceOn
5 M. J. Magee and J. K. Aggarwal, 'Determining Vanishing Points from Perspective Images,' Computer Vision & Graphics & Image Proc., vol. 26, pp. 256-267, 1984   DOI   ScienceOn
6 L. Quan, R. Mohr, 'Determining Perspective Structures Using Hierarchical Hough Transform,'Pattern Recog. Lett., vol. 9, pp. 279-286, 1989   DOI   ScienceOn
7 M. Straforini, C. Coelho, and M. Campani, 'Extraction of Vanishing Points from Images of Indoor and Outdoor Scenes,' Image and Vision Computing, vol. 11, pp. 91-99, 1993   DOI   ScienceOn
8 S. T. Barnard, 'Interpreting Perspective Images,' Artificial Intelligence, vol. 21, pp.435-462 1983   DOI   ScienceOn