Bob’s Basic Image Processing Routines
This Python module contains base functionality from Bob bound to Python, available in the C++ counter-part bob::ip::base
.
References
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[TanTriggs2007] | Xiaoyang Tan and Bill Triggs. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions, In International Conference on Analysis and Modeling of Faces and Gestures, 2007. pdf |
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[Lowe2004] | D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints, In International Journal of Computer Vision, 2004. |
[Dalal2005] | N. Dalal, B. Triggs. Histograms of Oriented Gradients for Human Detection, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005. |
[Haralick1973] | R. M. Haralick, K. Shanmugam, I. Dinstein. Textural Features for Image Classification, In IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-3, No. 6, p. 610-621, 1973. |
[Szeliski2010] | Richard Szeliski. Computer Vision: Algorithms and Applications (1st ed.). Springer-Verlag New York, USA, 2010. |