咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Computational Intelligence in ... 收藏

Computational Intelligence in Multi-Feature Visual Pattern Recognition: Hand Posture and Face Recognition using Biologically Inspired Approaches

丛 书 名:Studies in Computational Intelligence

版本说明:1

作     者:Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh (auth.) 

I S B N:(纸本) 9789812870551;9789812870568 

出 版 社:Springer-Verlag Singapur 

出 版 年:2014年

主 题 词:Computational intelligence. Pattern recognition systems. Computer vision 

学科分类:1305[艺术学-设计学(可授艺术学、工学学位)] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

摘      要:This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition. The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分