Abstract
This paper describes a comparative study of edge operators for the task of detecting dominant vanishing points in the image. Segmentation of line is required in order to detect the vanishing points. Three edge operators such as Sobel, Canny, and LoG (Laplacian of Gaussian) are used in order to compare that edge has influence on detecting the vanishing points. Most of line segments are obtained based on edge detection. The vanishing points are estimated by MSAC (m-estimator sample consensus) based algorithm. First, lines are extracted from edge images produced by edge operators. Second, vanishing points are obtained. The results of line segments and vanishing points detection are compared and discussed. The comparison is carried out based on the result of implementation on images with different buildings.
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References
Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI–8(6), 679–698 (1986)
Furukawa, Y., Curless, B., Seitz, S., Szeliski, R.: Manhattan-world stereo. In: IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2009, pp. 1422–1429, June 2009
Gonzlez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prenticel Hall (2007)
Hao Shao, T.S., Gool, L.V.: Zubud - zurich buildings database for image based recognition. Computer Vison Lab, Swiss Federal Institute of Technology, Technical Report No. 260 (2003)
Haralick, R.M., Shapiro, L.G.: Computer and Robot Vision, 1st edn. Addison-Wesley Longman Publishing Co., Inc, Boston (1992)
Musialski, P., Wonka, P., Aliaga, D.G., Wimmer, M., van Gool, L., Purgathofer, W.: A survey of urban reconstruction. Computer Graphics Forum 32(6), 146–177 (2013)
Rother, C.: A new approach to vanishing point detection in architectural environments. Image and Vision Computing 20(910), 647–655 (2002)
Schindler, G., Dellaert, F.: Atlanta world: an expectation maximization framework for simultaneous low-level edge grouping and camera calibration in complex man-made environments. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2004, vol. 1, pp. I-203–I-209, June 2004
Sinha, S., Steedly, D., Szeliski, R.: Piecewise planar stereo for image-based rendering. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 1881–1888, September 2009
Torr, P., Zisserman, A.: Mlesac: A new robust estimator with application to estimating image geometry. Computer Vision and Image Understanding 78(1), 138–156 (2000)
Trinh, H.H., Kim, D.N., Jo, K.H.: Facet-based multiple building analysis for robot intelligence. Applied Mathematics and Computation 205(2), 537–549 (2008)
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Seo, D., Hernández, D.C., Jo, KH. (2015). Comparison of Edge Operators for Detection of Vanishing Points. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9329. Springer, Cham. https://doi.org/10.1007/978-3-319-24069-5_42
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DOI: https://doi.org/10.1007/978-3-319-24069-5_42
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