Download Applied Pattern Recognition by Horst Bunke, Abraham Kandel, Mark Last PDF

By Horst Bunke, Abraham Kandel, Mark Last

A pointy elevate within the computing energy of contemporary desktops has brought on the advance of strong algorithms which could examine advanced styles in quite a lot of info inside a little while interval. for that reason, it has turn into attainable to use trend attractiveness ideas to new initiatives. the most objective of this booklet is to hide the various most recent program domain names of development reputation whereas featuring novel options which have been constructed or custom-made in these domain names.

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V. N. B. Sher. A computational model for face location. In Proceedings of the International Conference on Computer Vision, pages 718–721, 1990 29. E. K. Low. Face detection: A survey. Journal of Computer Vision and Image Understanding, 83:236–274, 2001 30. L. Hsu, M. K. Jain. Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5):696– 706, 2002 31. H. K. C. G. Kim. Object oriented face detection using range and color information. In AFGR98, 1998 32.

Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5):696– 706, 2002 31. H. K. C. G. Kim. Object oriented face detection using range and color information. In AFGR98, 1998 32. M. Kirby and L. Sirovich. Application of the Karhunen–Loe’ve procedure for the characterization of human faces. Pattern Analysis and Machine Intelligence, 12(1), 1990 Skin-based Face Detection-Extraction and Recognition 25 33. H. Kwon and N. da Vitoria Lobo. Face detection using templates.

This impression is also confirmed by a quantitative error measure. The number on each facial image indicates the average pixel-wise distance to the corresponding original facial image without glasses. The numbers in the last column represent the mean of pixel-wise Facial Image Processing 33 Fig. 2. Examples of glasses removal: (a) input images with glasses; (b) simple PCA reconstruction method; (c) example-based reconstruction method; (d) recursive error compensation; (e) original faces without glasses.

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