A Geometric Constraints Based Single-Image Reconstruction Method

Article Preview

Abstract:

In the paper, we have a study on reconstruction technology from single image, particularly on geometric constraint based methods. We analyze several important geometry constraint relationships in the image and derive corresponding function expression. In this way, the depth of each image point can be gained relatively accurately. With the depth of object points, we fulfilled model reconstruction from a single image. We call the single image reconstruction method as sequential method which need calculate depth of object points one by one. In the experiment, the results prove the visual effect of the algorithm is satisfactory.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1320-1325

Citation:

Online since:

November 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] YOUICHI H, KEN-ICHI A, KIYOSHI A. Tour into the picture: using a spidery mesh interface to make animation from a single image [M]. Proceedings of the 24th annual conference on Computer graphics and interactive techniques. ACM Press/Addison-Wesley Publishing Co. (1997).

DOI: 10.1145/258734.258854

Google Scholar

[2] GUILLOU E, MENEVEAUX D, MAISEL E, BOUATOUCH K. Using vanishing points for camera calibration and coarse 3D reconstruction from a single image [J]. The Visual Computer, 2000, 16(7): 396-410.

DOI: 10.1007/pl00013394

Google Scholar

[3] CRIMINISI A, REID I, ZISSERMAN A. A plane measuring device; proceedings of the 8th British Machine Vision Conference, Colchester, 1997 [C].

Google Scholar

[4] CRIMINISI A, ZISSERMAN A, VAN GOOL L J, BRAMBLE S K, et al. A new approach to obtain height measurements from video; proceedings of the SPIE, 1999[C].

DOI: 10.1117/12.334540

Google Scholar

[5] CRIMINISI A, REID I, ZISSERMAN A. Duality, Rigidity, Stratified Metrology and Planar Parallax; proceedings of the ECCV, 1998 [C].

Google Scholar

[6] CRIMINISI A, REID I, ZISSERMAN A. Single view metrology [J]. International Journal of Computer Vision, 2000, 40(2): 123-48.

Google Scholar

[7] CRIMINISI A. Single-view metrology: Algorithms and applications [M]. DAGM Symposium. 2002: 224.

Google Scholar

[8] LIEBOWITZ D, ZISSERMAN A. Combining scene and auto-calibration constraints; proceedings of the 7th International Conference on Computer Vision, Kerkyra, Greece 1999 [C].

DOI: 10.1109/iccv.1999.791233

Google Scholar

[9] LIEBOWITZ D, ZISSERMAN A. Metric rectification for perspective images of planes; proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1998 [C].

DOI: 10.1109/cvpr.1998.698649

Google Scholar

[10] LIEBOWITZ D, CRIMINISI A, ZISSERMAN A. Creating architectural models from images; proceedings of the Euro Graphics, 1999 [C].

DOI: 10.1111/1467-8659.00326

Google Scholar

[11] STURM P, MAYBANK S J. A method for interactive 3d reconstruction of piecewise planar objects from single images; proceedings of the British Machine Vision Conference, Nottingham, England, 1999 [C]. 53.

DOI: 10.5244/c.13.27

Google Scholar

[12] STURM P. A method for 3D reconstruction of piecewise planar objects from single panoramic images; proceedings of the IEEE Workshop on Omni directional Vision, Hilton Head Island, USA, 2000 [C].

DOI: 10.1109/omnvis.2000.853818

Google Scholar

[13] WILCZKOWIAK M, BOYER E, STURM P. Camera calibration and 3D reconstruction from single images using parallelepipeds; proceedings of the 8th IEEE International Conference on Computer Vision, Vancouver, Canada, 2001 [C].

DOI: 10.1109/iccv.2001.937510

Google Scholar