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一种新的消失点检测算法

陈付幸 王润生

陈付幸, 王润生. 一种新的消失点检测算法[J]. 电子与信息学报, 2006, 28(8): 1458-1462.
引用本文: 陈付幸, 王润生. 一种新的消失点检测算法[J]. 电子与信息学报, 2006, 28(8): 1458-1462.
Chen Fu-xing, Wang Run-sheng. A New Vanishing Point Detecting Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(8): 1458-1462.
Citation: Chen Fu-xing, Wang Run-sheng. A New Vanishing Point Detecting Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(8): 1458-1462.

一种新的消失点检测算法

A New Vanishing Point Detecting Algorithm

  • 摘要: 该文在随机抽样一致性算法基础上,提出了一个基于预检验的随机抽样一致性Preview model Parameters Evaluation RANSAC(PERANSAC)消失点估计算法:该算法在原始RANSAC算法消失点检验前,加入一个预检验步骤,在保证计算结果精度不变的前提下,过滤掉大量偏差较大的消失点,减少了检验的计算量,大大提高了算法的整体效率。大量的实验结果表明,该算法的计算精度与RANSAC算法精度保持一致,计算速度远高于RANSAC算法。
  • Straforini M, Coelho C, Campani M. Extraction of vanishingpoints from images of indoor and outdoor scenes[J].Image andVision Computing.1993, 11(2):91-99[2]Criminisi A, Reid I, Zisserman A. Single view metrology.Proceedings of the 7th International Conference on ComputerVision, Kerkyra, Greece, 1999: 434-441.[3]Rother C, Carlsson S. Linear multiview reconstruction andcamera recovery. Proceedings of the 8th International Conferenceon Computer Vision, Vancouver, Canada, 2001, 1: 42-51.[4]Svedberg D, Carlsson S. Calibration, pose and novel views fromsingle images of constrained scenes. Proceedings of the 11thScandinavian Conference on Image Analysis, Kangerlussuaq,Greenland, 1999: 111-117.[5]Aprile B C, Using V T. Vanishing points for camera calibration[J].International Journal of Computer Vision.1990, 4(2):127-140[6]Liebowitz D, Zisserman A. Combining scene and auto-calibrationconstraints. Proceedings of the 7th International Conference onComputer Vision, Kerkyra, Greece, 1999: 293-300.[7]Quan L, Mohr R. Determining perspective structures usinghierarchical Hough transform[J].Pattern Recognition Letters.1989,9(4):279-286[8]Lutton E, Ma坕tre H, Lopez-Krahe J. Contribution to thedetermination of vanishing points using Hough transform[J].IEEETrans. on Pattern Analysis and Machine Intelligence.1994, 16(4):430-438[9]Barnard S T. Interpreting perspective images. ArtificialIntelligence, 1983, 21: 435-462.[10]Tuytelaars T, et al.. The cascaded Hough transform as an aid inaerial image interpretation. Proceedings of the 6th InternationalConference on Computer Vision, Bombay, India, 1998: 67-72.[11]Schaffalitzky F, Zisserman A. Planar grouping for automaticdetection of vanishing lines and points. Image and VisionComputing, 2000, 18(9): 647-658.[12]Rother C. A new approach for vanishing point detection inarchitectural environments. British Machine Vision Conference(BMVC), Bristol, UK, 2000: 382-391.[13]Rother C. Multi-view reconstruction and camera recovery using areal or virtual reference plane. [PHD Thesis], Royal Institute ofTechnology, 2003.[14]McLean C F, Koyyuri D. Vanishing point detection by lineclustering. IEEE Trans. on PAMI, 1995, 17(11): 1090-1095.[15]Minagawa A, Tagawa N. Vanishing point and vanishing lineestimation with line clustering[J].IEICE Trans. Info. Syst.2000,E83-D(7):1574-1582[16]Fischler M A, Bolles R C. Random sample consensus: Aparadigm for model fitting with applications to image analysisand automated cartography[J].Communications of the ACM.1981,24(6):381-395
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出版历程
  • 收稿日期:  2004-12-20
  • 修回日期:  2005-06-15
  • 刊出日期:  2006-08-19

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