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MP.L2: Feature Extraction II

Session Type: Lecture
Time: Monday, September 26, 14:00 - 16:00
Location: Room 106 C
Session Chair: Toby Breckon, Durham University
 
Presented 14:00 - 14:20
   MP.L2.1: AUTOMATIC THRESHOLDING OF SIFT DESCRIPTORS
         Matthew Kirchner; Naval Air Warfare Center Weapons Division
 
Presented 14:20 - 14:40
   MP.L2.2: ACCELERATED LOCAL FEATURE EXTRACTION IN A REUSE SCHEME FOR EFFICIENT ACTION RECOGNITION
         Jia-Lin Chen; National Taiwan University
         Zhi-Yi Lin; National Taiwan University
         Yi-Chen Wan; National Taiwan University
         Liang-Gee Chen; National Taiwan University
 
Presented 14:40 - 15:00
   MP.L2.3: DENSE GRADIENT-BASED FEATURES (DEGRAF) FOR COMPUTATIONALLY EFFICIENT AND INVARIANT FEATURE EXTRACTION IN REAL-TIME APPLICATIONS
         Ioannis Katramados; Cosmonio Ltd / Cranfield University
         Toby P Breckon; Durham University
 
Presented 15:00 - 15:20
   MP.L2.4: MODELING THE IMPACT OF KEYPOINT DETECTION ERRORS ON LOCAL DESCRIPTOR SIMILARITY
         Andre Araujo; Stanford University
         Haricharan Lakshman; Stanford University
         Roland Angst; Stanford University
         Bernd Girod; Stanford University
 
Presented 15:20 - 15:40
   MP.L2.5: DUDE (DUALITY DESCRIPTOR): A ROBUST DESCRIPTOR FOR DISPARATE IMAGES USING LINE SEGMENT DUALITY
         Youngwook Kwon; University of California, Berkeley
         Hyojin Kim; Lawrence Livermore National Laboratory
         Goran Konjevod; Lawrence Livermore National Laboratory
         Sara McMains; University of California, Berkeley
 
Presented 15:40 - 16:00
   MP.L2.6: COORDINATE SELECTION FOR AFFINE INVARIANT FEATURE DESCRIPTION
         Christopher Bulla; Rheinisch-Westfälische Technische Hochschule Aachen
         Jens-Rainer Ohm; Rheinisch-Westfälische Technische Hochschule Aachen