Burt P J. The pyramid as a structure for efficient computation[M]. Berlin: Springer Berlin Heidelberg, 1984:6-35.
[2]
Burt P J, Kolczynski R J. Enhanced image capture through fusion[C]//Proceedings of the 1993 IEEE 4th International Conference on Computer Vision. Berlin, IEEE, 1993:173-182.
[3]
Li H, Manjunath B S, Mitra S K. Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Processing, 1995,57(3):235-245.
[4]
Rockinger O. Image sequence fusion using a shift-invariant wavelet transform[C]//Proceedings of the International Conference on Image Processing. Los Alamitos, USA:IEEE, 1997:288-291.
[5]
Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion[J]. IEEE Transactions on Image Processing, 2004,13(2):228-237.
[6]
Piella G. A general framework for multiresolution image fusion: from pixels to regions[J]. Information Fusion, 2003,4(4):259-280.
[7]
Mangai U G, Samanta S, Das S, et al. A survey of decision fusion and feature fusion strategies for pattern classification[J]. IETE Technical Review, 2010,27(4):293-307.
[8]
Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004,60(2):91-110.
[9]
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Los Alamitos, USA: IEEE, 2005:886-893.
[10]
Zhou C, Tang L, Wang S, et al. Human detection based on fusion of histograms of oriented gradients and main partial features[C]//Proceedings of 2nd International Congress on Image and Signal Processing.[S.l.]: IEEE,2009:1-5.
[11]
Spinello L, Siegwart R. Human detection using multimodal and multidimensional features[C]//Proceedings of the 2008 IEEE International Conference on Robotics and Automation.Pasadena, USA: IEEE, 2008:3264-3269.
[12]
Edelman S, Intrator N, Poggio T. Complex cells and object recognition[C]//Proceedings of Neural Information Processing Systems. [S.l.]: NIPS, 1997.
[13]
Olshausen B A. Emergence of simple-cell receptive field properties by learning a sparse code for natural images[J]. Nature, 1996,381(6583):607-609.
[14]
Joachims T. Making large-scale support vector machine learning practical[R]. Dortmund, Germany: Technische Universit？t Dortmund, Sonderforschungs-bereich 475, Komplexit？tsreduktion in Multivariaten Datenstrukturen, 1998.
[15]
Chang C C, Lin C J. LIBSVM: a library for support vector machines[J]. ACM Transactions on Intelligence System, 2001,2(3):1-27.
