LEADER 04758nam 22006255 450 001 9910299463103321 005 20200703084856.0 010 $a981-287-056-3 024 7 $a10.1007/978-981-287-056-8 035 $a(CKB)3710000000119240 035 $a(DE-He213)978-981-287-056-8 035 $a(SSID)ssj0001239391 035 $a(PQKBManifestationID)11698678 035 $a(PQKBTitleCode)TC0001239391 035 $a(PQKBWorkID)11186468 035 $a(PQKB)10940278 035 $a(MiAaPQ)EBC3092001 035 $a(PPN)178783676 035 $a(EXLCZ)993710000000119240 100 $a20140523d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence in Multi-Feature Visual Pattern Recognition$b[electronic resource] $eHand Posture and Face Recognition using Biologically Inspired Approaches /$fby Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh 205 $a1st ed. 2014. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2014. 215 $a1 online resource (XIII, 138 p. 50 illus., 25 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v556 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a981-287-055-5 327 $aPart I Computational Intelligence in Visual Pattern Recognition -- 1 Visual Pattern Recognition -- 2 Computational Intelligence Techniques -- 3 Multi-Feature Pattern Recognition -- Part II Feature Selection and Classification -- 4 Fuzzy-Rough Discriminative Feature Selection and Classification -- 5 Hand Posture and Face Recognition using Fuzzy-Rough Approach -- 6 Boosting based Fuzzy-Rough Pattern Classifier -- Part III Biologically Inspired Approaches in Hand Posture Recognition -- 7 Hand Posture Recognition using Neurobiologically Inspired Features -- 8 Attention based Segmentation and Recognition (ASR) Algorithm for Hand Postures Against Complex Backgrounds -- Appendices -- Index. 330 $aThis book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition. The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v556 606 $aComputational intelligence 606 $aPattern recognition 606 $aAlgorithms 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 615 0$aComputational intelligence. 615 0$aPattern recognition. 615 0$aAlgorithms. 615 14$aComputational Intelligence. 615 24$aPattern Recognition. 615 24$aAlgorithms. 676 $a006.3 700 $aPisharady$b Pramod Kumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0873958 702 $aVadakkepat$b Prahlad$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPoh$b Loh Ai$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299463103321 996 $aComputational Intelligence in Multi-Feature Visual Pattern Recognition$91951206 997 $aUNINA