Upload
vladimir-dejesus
View
72
Download
2
Embed Size (px)
DESCRIPTION
Local descriptors and similarity measures for frontal face recognition: A comparative analysis. 小组 成员:周稻祥. 报告人 :周稻祥. About the Author: Witold Pedrycz. R esearch interests and activities: Software Engineering System modelling and knowledge discovery - PowerPoint PPT Presentation
Citation preview
PowerPoint Presentation
Local descriptors and similarity measures for frontal face recognition: A comparative analysis
About the Author: Witold Pedrycz Department of Electrical and Computer Engineering, University of Alberta, CanadaProfessor & Canada Research Chair & IEEE Fellow & Professional Engineer
Research interests and activities: Software Engineering System modelling and knowledge discovery Reconfigurable and evolvable architectures. Pattern recognitionPersonal Homepagehttp://www.ece.ualberta.ca/~pedrycz/index.html
About the Author: Marek Reformat A member of the IEEE and ACM.A member of program committees of several conferences related to computational intelligence and software engineering. Actively involved in North American Fuzzy Information Processing Society (NAFIPS).Research interests and activities: Knowledge extraction and knowledge representation Semantic-based intelligent systems Decision support Software quality and maintenancePersonal Homepage http://www.ece.ualberta.ca/~reform/index.html
Contents Main process Local descriptors Gabor filter with LBP Similarity measures & Experimental results
TaxonomyOn pixelLBP,CS,RIPsychological WLDTernary LTP,DLTPDistance basedTPLBP,FPLBP
Local descriptorsRotation invarShifted LBP
Selete subsetU2,DLBP,SELBPOn averagedILBP,MBLBP,GRAB
Three DimenVLBP,LBP-TOP
MultiresolutionGabor,MB,GRABlocal descriptors on Gabor filtered imageGabor magnitudeLGBP,MHLVP,LGBPHS,MULGBPGabor magnitude & phaseELGBP,MBP3DGV-LBPTOPGabor phase quantizationHGPP,LGPDP,LGXPDerivative patternsELGBP,LDP
Main process12 3
Main process231143981299782165Local pattern:pixel level description
Contents Main process Local descriptors Gabor filter with LBP Similarity measures & Experimental results
Local binary patterns:Circular LBP
Bilinear interpolation of a pixelBasic LBP57
Uniform-Ri LBPBAElongated LBPNew Variants Dominant LBPStatistically Effective LBPHamming LBPBaisc LBP etc
Local binary patterns:Threshold100.11
ILBP
Local binary patterns:
Threshold
L2L3L4
MagnitudeL1
SignELBP
Local binary patterns:MagnitudeSign
Original imageCenter gray levelLocal differenceMSclbp_Sclbp_Mclbp_Cclbp_mapclassifierclbp_HistogramCLBP
Local binary patterns:231129812142321610-11011-1DLTP=| LTPU-LTPL|=135-40=951001011000100001LTP5(AELTP)LTP
Local binary patterns:Soft-LBP
Gabor filter with LBP:SILTP[64(1-t) 64(1+t)]0000100010000101t=0.1
Local binary patterns:
Integral image
D=4+1-(2+3)MB-LBP
Local binary patterns:GRAB(General Region Assigned to binary)
1238476512436578 5GARB#noise & variations & rotation tolerant operatorsolving the orientation problemsmall variation in edge angles cause smaller variations in the binary representation
Local binary patterns:
CS-LBP
Local binary patterns:
TP-LBP
Local binary patterns:
FP-LBP
Local binary patterns:LDP
85322653501060384531397503537039916197161001110001Robust against Gaussian white noise and non-monotonic illumination changes 2Rotation invariant
Local binary patterns:
VLBP
Local binary patterns:
VLBP
Local binary patterns:LBP-TOP
Local binary patterns:LBP-TOP
Local binary patterns:LBP-TOP
Local binary patterns:LBP-TOP
Contents Main process Local descriptors Gabor filter with LBP Similarity measures & Experimental results
Gabor filter with LBP
Gabor filter with LBP
==++
Gabor filter with LBPGaborDennis Gabor, 194633
Gabor filter with LBP:
10 GGPP80 GGPPHGPP
Gabor filter with LBP:
GGPPLGPP110011010HGPP
Gabor filter with LBP:LGPDP
Gabor filter with LBP:LGXP
Contents Main process Local descriptors Gabor filter with LBP Similarity measures & Experimental results
Similarity measures
Fusing sub-region1: All sub-regional histograms concatenated2: Sub-regions of two images are compared pair-wise and the results are aggregated
Fusing sub-regionI2I1I1I2LGXPLGBP_magA:Feature level fusion
Fusing sub-region
LGBP_magI1I2I2I1LGXPOthers measure:1:cosine distance measure2:LDA1: AdaBoost2: Borda countReduction dimensionality
Thank you2013-04-1613113.4232013-04-1613165.667