Accuracy assessment of single viewing techniques for metric measurements on single images

Accuracy assessment of single viewing techniques for metric measurements on single images

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Computer Vision — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Single view methodology has been a long-standing issue of extracting metric information from a single image in the relevant disciplines. To perform metric measurements on a single image, two methods, which are based on identifying vanishing points (VPs), were employed in the study. One of the two methods is based on the cross ratio and VPs computation and the other integrates robust statistical estimators and close range techniques in a multidisciplinary concept. The estimation of object distance from a single image taken in an outdoor environment was the main concern for a practical application in the study. As the main concern of the study, accuracy analysis of distance measurements was performed to compare the performance of two techniques and experimental results are presented.


    1. 1)
      • 1. Arslan, O.: ‘3D object reconstruction from a single image’, Int. J. Environ. Geoinformatics, 2014, 1, pp. 2029.
    2. 2)
      • 2. Debevec, P.E., Taylor, C.J., Malik, J.: ‘Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach’. Proc. SIGGRAPH'96, 1996, pp. 1120.
    3. 3)
      • 3. El-Hakim, S.F.: ‘A practical approach to creating precise and detailed 3D models from single and multiple views’, Int. Arch. Photogramm. Remote Sens., 2000, 33, (5), pp. 202209.
    4. 4)
      • 4. Criminisi, A., Reid, I., Zisserman, A.: ‘Single view metrology’, Int. J. Comput. Vis., 2000, 40, pp. 123148.
    5. 5)
      • 5. Pears, N., Liang, B., Chen, Z.: ‘Mobile robot visual navigation using multiple features’, J. Appl. Signal Process., 2005, 14, pp. 22502259.
    6. 6)
      • 6. Chen, Z., Pears, N., Liang, B.: ‘A method of visual metrology from uncalibrated images’, Pattern Recognit. Lett., 2006, 27, (13), pp. 14471456.
    7. 7)
      • 7. Cai, J., Walker, R.: ‘Height estimation from monocular image sequences using dynamic programming with explicit occlusions’, IET Comput. Vis., 2010, 4, (3), pp. 149161.
    8. 8)
      • 8. BenAbdelkader, C., Yacoob, Y.: ‘Statistical body height estimation from a single image’. Proc. 8th IEEE Int. Conf. on Automatic Face and Gesture Recognition, 2008, pp. 17.
    9. 9)
      • 9. Jeges, E., Kispal, I., Hornak, Z.: ‘Measuring human height using calibrated cameras’. Proc. 2008 Conf. on Human Systems Interactions, 2008, pp. 755760.
    10. 10)
      • 10. Fernanda, A.A., Taubin, G., Goldenstein, S.: ‘Efficient height measurements in single images based on the detection of vanishing points’, Comput. Vis. Image Underst., 2015, 138, pp. 5160.
    11. 11)
      • 11. Guan, Y.P.: ‘Unsupervised human height estimation from a single image’, J. Biomed. Sci. Eng., 2009, 2, (6), pp. 425430.
    12. 12)
      • 12. Zhou, J., Li, B.: ‘Exploiting vertical lines in vision-based navigation for mobile robot platforms’. Proc. IEEE Conf. on Acoustics, Speech and Signal Processing, 2007, pp. 465468.
    13. 13)
      • 13. Chen, S., Fang, X., Shen, J., et al: ‘Single-image distance measurement by a smart mobile deviceIEEE Trans. Cybern., 2017, 47, (12), pp. 44514462.
    14. 14)
      • 14. Holzmann, C., Hochgatterer, M.: ‘Measuring distance with mobile phones using single-camera stereo vision’. Proc. Int. Conf. on Distributed Computing Systems Workshops (ICDCSW), 2012, pp. 8893.
    15. 15)
      • 15. Aguilera, D.G., Gomez-Lahoz, J.: ‘From 2D to 3D through modelling based on a single image’. Photogramm. Rec., 2008, 23, (122), pp. 208227.
    16. 16)
      • 16. Aguilera, D.G., Gomez-Lahoz, J.: ‘Forensic terrestrial photogrammetry from a single image’, J. Forensic Sci., 2009, 54, (6), pp. 13761387.
    17. 17)
      • 17. Madden, C., Piccardi, M.: ‘Height measurement as a session-based biometric for people matching across disjoint camera views’. Proc. Conf. on Image and Vision Computing, New Zealand (IVCNZ), 2005, pp. 282286.
    18. 18)
      • 18. Khan, S., Shah, M.: ‘A multiview approach to tracking people in crowded scenes using a planar homography constraint’. Proc. 9th European Conf. on Computer Vision (ECCV), 2006, pp. 133146.
    19. 19)
      • 19. Criminisi, A.: ‘Single-view metrology: algorithms and applications’. Proc. 24th DAGM Symp. on Pattern Recognition, 2002, pp. 224239.
    20. 20)
      • 20. Park, S.W., Kim, T.E., Choi, J.S.: ‘Robust estimation of heights of moving people using a single camera’. Proc. Int. Conf. on IT Convergence and Security (ICITCS), 2011, pp. 389405.
    21. 21)
      • 21. Lee, K.Z.: ‘A simple calibration approach to single view height estimation’. Proc. Ninth Conf. on Computer and Robot Vision (CRV), 2012, pp. 161166.
    22. 22)
      • 22. Aguilera, D.G., Gómez-Lahoz, J.: ‘Dimensional analysis of bridges from a single image’. J. Comput. Civ. Eng., 2009, 23, pp. 319329.
    23. 23)
      • 23. Arslan, O.: ‘Metric measurements from a single image with the estimation of vanishing points’. Int. Scientific Conf. on Applied Sciences, Antalya Turkey, 27–30 September 2016.
    24. 24)
      • 24. Aguilera, D.G., Gómez, J., Finat, J.: ‘A new method for vanishing points detection in 3D reconstruction from a single view’, ISPRS Commission V, WG V/2. Mestre, Venice, 2005.
    25. 25)
      • 25. Lutton, E., Maitre, H., Lopez-Krahe, J.: ‘Contribution to the determination of vanishing points using Hough transform’, IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16, (4), pp. 430438.
    26. 26)
      • 26. Shufelt, J.A.: ‘Performance evaluation and analysis of vanishing point detection techniques’. ARPA Image Understanding Workshop, Morgan Kaufmann Publishers, Palm Springs, 1996, pp. 11131132.
    27. 27)
      • 27. Košecká, J., Zhang, W.: ‘Video compass’. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds) ‘Computer vision – ECCV 2002, lecture notes in computer science’ (Springer, Berlin, Heidelberg, 2002), vol. 2353, pp. 476490.
    28. 28)
      • 28. Tardif, J.P.: ‘Non-iterative approach for fast and accurate vanishing point detection’. Int. Conf. on Computer Vision, 2009.
    29. 29)
      • 29. Xu, Y., Oh, S., Hoogs, A.: ‘A minimum error vanishing point detection approach for uncalibrated monocular images of man-made environments’. Computer Vision and Pattern Recognition, 2013.
    30. 30)
      • 30. Wildenauer, H., Hanbury, A.: ‘Robust camera self-calibration from monocular images of Manhattan worlds’. Computer Vision and Pattern Recognition, 2012.
    31. 31)
      • 31. Tretyak, E., Barinova, O., Kohli, P., et al: ‘Geometric image parsing in man-made environments’, Int. J. Comput. Vis., 2012, 97, (3), pp. 305321.
    32. 32)
      • 32. Lezama, J., Grompone Von Gioi, R., Randall, G., et al: ‘Finding vanishing points via point alignments in image primal and dual domains’. Computer Vision and Pattern Recognition, 2014.
    33. 33)
      • 33. Criminisi, A., Zisserman, A., Van Gool, L., et al: ‘A new approach to obtain height measurements from video’. Proc. SPIE, Boston, Massachusetts, USA, November 1998, vol. 3576.
    34. 34)
      • 34. Heuvel, F.A.: ‘Vanishing point detection for architectural photogrammetry’, Int. Arch. Photogramm. Remote Sens., 1998, XXXII, part 5, pp. 652659.
    35. 35)
      • 35. Wang, G., Tsui, H., Wu, Q.: ‘What can we learn about the scene structure from three orthogonal vanishing points in images’, Pattern Recognit. Lett., 2009, 30, (3), pp. 192202.
    36. 36)
      • 36. Criminisi, A.: ‘Accurate visual metrology from single and multiple uncalibrated images’ (Springer-Verlag, New York, USA, 2001).
    37. 37)
      • 37. Aguilera, D.G., Gomez Lahoz, J., Finat, J., et al: ‘A comparative analysis for the vanishing points estimation in urban scenes from a single view’. CIPA Int. Workshop: Vision Techniques Applied to the Rehabilitation of City Centres, Lisbon, Portugal, 2004.
    38. 38)
      • 38. Li, B., Peng, K., Ying, X., et al: ‘Simultaneous vanishing point detection and camera calibration from single images’. Proc. Int. Symp. on Visual Computing, Part II (LNCS, 6454), 2010, pp. 151160.

Related content

This is a required field
Please enter a valid email address