Technical Program

SP2.PK: Texture Segmentation and Classification

Session Type: Poster
Time: Sunday, November 8, 16:35 - 17:55
Location: Farhaty Ballroom/Foyer Area K
Session Chair: Riccardo Leonardi, Università di Brescia
 
SP2.PK.1: A HIERARCHICAL GRAPH-BASED MARKOVIAN CLUSTERING APPROACH FOR THE UNSUPERVISED SEGMENTATION OF TEXTURED COLOR IMAGES
         Rachid Hedjam; Synchromedia Laboratory for Multimedia Communication in Telepresence
         Max Mignotte; Universite de Montreal
 
SP2.PK.2: AN ACTI VE CONTOURS METHOD BASED ON INTENSITY AND REDUCED GABOR FEATURES FOR TEXTURE SEGMENTATION
         Huchuan Lu; Dalian University of Technology
         Yunyun Liu; Dalian University of Technology
         Zhipeng Sun; Dalian University of Technology
         Yen-wei Chen; Ritsumeikan University
 
SP2.PK.3: A 3D DISCRETE CURVELET BASED METHOD FOR SEGMENTING DYNAMIC TEXTURES
         Sloven Dubois; Mia and L3i
         Renaud Péteri; Mia and L3i
         Michel Ménard; Mia and L3i
 
SP2.PK.4: INTEGRATING LOCAL FEATURE AND GLOBAL STATISTICS FOR TEXTURE ANALYSIS
         Yong Xu; South China University of Technology
         SiBin Huang; South China University of Technology
         Hui Ji; National University of Singapore
 
SP2.PK.5: COLOR TEXTURE CLASSIFICATION BY A DISCRETE STATISTICAL MODEL AND FEATURE SELECTION
         Nizar Bouguila; Concordia University
         Riad Hammoud; Delphi Corporation
 
SP2.PK.6: GABOR-BASED TEXTURE CLASSIFICATION THROUGH EFFICIENT PROTOTYPE SELECTION VIA NORMALIZED CUT
         Jaime Melendez; Rovira i Virgili University
         Domenec Puig; Rovira i Virgili University
         Miguel Angel Garcia; Autonomous University of Madrid