decomposition of dynamic textures using morphological component analysis
DESCRIPTION
Decomposition of Dynamic Textures Using Morphological Component Analysis. 作者: Sloven Dubois, Renaud Peteri and Michel Menard 出處: IEEE Transactions Circuits and Systems for Video Technology, Vol. 22, No.2, Feb 2012. 報告者: 周凌漢 日期: 2012/12/19. Outline. Introduction - PowerPoint PPT PresentationTRANSCRIPT
1Decomposition of Dynamic Textures UsingMorphological Component Analysis2012/12/19 Sloven Dubois, Renaud Peteri and Michel Menard IEEE Transactions Circuits and Systems for Video Technology, Vol. 22, No.2, Feb 2012Outline2IntroductionA Model of Dynamic TextureDecomposing Dynamic TexturesResultsConclusion and ProspectsIntroduction3
Introduction4
Introduction5
Introduction6()()()/()()()
Introduction7(MCA)
Two Model of Image Motion8
Two Model of Image Motion9Tv:
:
Two Model of Image Motion10i
Two Model of Image Motion11:()()
Two Model of Image Motion12Pi
Li /
Two Model of Image Motion13
Decomposing Dynamic Textures14Morphological Component Analysis:ND:y // for i = 1 to N do //0 =0End for(1) = lambda initialization(strategy) //K=1 //
Decomposing Dynamic Textures15Morphological Component Analysis:While doFor i = 1 to N do // // // // // end for // k=k+1 // End while
Decomposing Dynamic Textures16Choice of the Dictionary()2-D+ T 1 (curvelet transform)()2-D+ T 2 (local cosine transform)
Decomposing Dynamic Textures17Thresholding StrategyDynTex5(128)648540 (LTS):DynTex700700 *21 H =612(MoMS):DynTex306
Decomposing Dynamic Textures18Two New Adaptive Thresholding Strategies for Improving Computation TimeMCAk
Decomposing Dynamic Textures19Two New Adaptive Thresholding Strategies for Improving Computation TimeLTS:LTSMOMS:(K)(ATSLc)
Decomposing Dynamic Textures20Two New Adaptive Thresholding Strategies for Improving Computation TimeLTSETS:LTS:ETS:
Decomposing Dynamic Textures21Two New Adaptive Thresholding Strategies for Improving Computation TimeETSMOMS(ATSEc)Results22Comparison Between Static and Dynamic MCA Decomposition
Results23Comparison Between Static and Dynamic MCA Decomposition
MCA(ATSLc)Results24Comparison Between Static and Dynamic MCA Decomposition
Conclusion and Prospects25ConclusionATSLcATSEc5
Prospects