Digital Signal Processing Reference
In-Depth Information
6.
Chen, L.-H., Yang, Y.-H., Chen, C.-S., Cheng, M.-Y.: Illumination Invariant Feature Ex-
traction based on Natural Images Statistics - Taking Face Images as an Example. In: IEEE
Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2011,
pp. 329-336 (2011)
7.
Goh, Y.Z., Teoh, A.B.J., Goh, M.K.O.: Wavelet based Illumination Invariant Preprocess-
ing in Face Recognition. In: Congress on Image and Signal Processing, vol. 335, pp. 421-
425 (2008)
8.
Hu, H.: Variable Lighting Face Recognition using Discrete Wavelet Transform. Pattern
Recognition Letters 32(13), 1526-1534 (2011)
9.
Cao, X.: Illumination Invariant Extraction for Face Recognition using Neighboring Wave-
let Coefficients. Pattern Recognition 45, 1299-1305 (2012)
10.
Zhang, T., Fang, B.: Multiscale Facial Structure Representation for Face Recognition un-
der Varying Illumination. Pattern Recognition 42, 251-258 (2009)
11.
Cheng, Y., Hou, Y., Zhao, C.: Robust Face Recognition based on Illumination Invariant in
Nonsubsampled Contourlet Rransform Domain. Neurocomputing 73, 2217-2224 (2010)
12.
Horn, B.K.P.: Robot vision. MIT Press, Cambirdge (1986)
13.
da Cunha, A.L., Zhou, J.: The Nonsubsampled Contourlet Ttransform: Theory, Design,
and Applications. IEEE Trans. on Image Processing 15(10), 3089-3101 (2006)
