Abstract book (pdf) - ICPR 2010

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Organizing Committees Conference Chair Aytül Erçil Sabanci University Turkey Technical Co-Chairs Kim Boyer Rensselaer Polytechnic Institute USA Müjdat Çetin Sabanci University Turkey Seong-Whan Lee Korea University Korea Advisory Committee Sergey Ablameyko National Academy of Sciences Belarus Hüseyin Abut San Diego State University USA Jake Aggarwal University of Texas USA Horst Bunke University of Bern Switzerland Rama Chellappa University of Maryland USA Igor B. Gurevich Russian Academy of Sciences Russia Anil K. Jain Michigan State University USA Takeo Kanade Carnegie Mellon University USA Rangachar Kasturi University of South Florida USA - 2 - Josef Kittler University of Surrey UK Brian Lovell University of Queensland Australia Theo Pavlidis Stony Brook University USA Pietro Perona California Institute of Technology USA Fatih Porikli MERL USA Alberto Sanfeliu Politechnical University of Catalonia Spain Bülent Sankur Bogazici University Turkey Bernhard Schölkopf Max Planck Institutes Germany Mubarak Shah University of Central Florida USA Tieniu Tan National Laboratory of Pattern Recognition China Sergios Theodoridis University of Athens Greece Plenary Speakers Committee Anil K. Jain Michigan State University USA Tutorials Denis Laurendeau Laval University Canada - 2 -
Arun Ross West Virginia University USA Birsen Yazıcı Rensselaer Polytechnic Institute USA Workshops Selim Aksoy Bilkent University Turkey Theo Gevers University of Amsterdam The Netherlands Denis Laurendeau Laval University Canada Bülent Sankur Bogazici University Turkey Contest Organization Selim Aksoy Bilkent University Turkey Zehra Çataltepe Istanbul Technical Universityv Turkey Devrim Ünay Bahcesehir University Turkey Publicity Enis Çetin Bilkent University Turkey Pınar Duygulu Şahin Bilkent University Turkey Asian Liaisons Karthik Nandakumar Institute for Infocomm Research Singapore Yunhou Wang Beihang University China - 3 - European Liaisons Javier Ortega-Garcia Universidad Autonoma de Madrid Spain Fabio Roli University of Cagliari Italy American Liaisons Deniz Erdoğmuş Northeastern University USA Publications Nafiz Arıca Naval Academy Turkey Cem Ünsalan Yeditepe University Turkey Local Arrangements Ayşın Baytan Ertüzün Bogazici University Turkey Mustafa Ünel Sabanci University Turkey Finance Gülbin Akgün Sabanci University Turkey Hakan Erdoğan Sabanci University Turkey Sponsorship Fatoş Yarman Vural Middle East Technical University Turkey Exhibits Olcay Kurşun Istanbul University Turkey
Page 3: CONTENTS Organizing Committees 2 Tr
Page 7 and 8: Track IV: Biometrics and Human Comp
Page 9 and 10: Message from the Technical Program
Page 11 and 12: - 9 -
Page 13 and 14: - 11 -
Page 15 and 16: - 13 -
Page 17 and 18: - 15 -
Page 19 and 20: Technical Program for Monday August
Page 21 and 22: 09:00-09.30, MoOT10 Anadolu Auditor
Page 23 and 24: 11:20-11:40, Paper MoAT2.2 2D Shape
Page 25 and 26: sponding feature points between the
Page 27 and 28: This paper concentrates on speech d
Page 29 and 30: 12:00-12:20, Paper MoAT6.4 AR-PCA-H
Page 31 and 32: tistical models fitted to large dat
Page 33 and 34: 16:10-16:30, Paper MoBT2.3 A Recurs
Page 35 and 36: MoBT4 Dolmabahçe Hall A Ocular Bio
Page 37 and 38: equation for estimating alphas of p
Page 39 and 40: 15:30-15:50, Paper MoBT7.1 Dyslexia
Page 41 and 42: 15:00-17:10, Paper MoBT8.3 Fast Odo
Page 43 and 44: 15:00-17:10, Paper MoBT8.11 Abnorma
Page 45 and 46: process. This method is an importan
Page 47 and 48: paper describes a general framework
Page 49 and 50: work machine environments, in which
Page 51 and 52: 15:00-17:10, Paper MoBT8.44 Road Ch
Page 53 and 54: the backgrounds with random landsca
Page 55 and 56:
Research on complex shape recogniti
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image observations. Experimental re
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15:00-17:10, Paper MoBT9.17 Possibi
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15:00-17:10, Paper MoBT9.25 Gaussia
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15:00-17:10, Paper MoBT9.34 CDP Mix
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15:00-17:10, Paper MoBT9.42 Learnin
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This paper proposes a solution to t
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15:00-17:10, Paper MoBT9.59 Tensor
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Technical Program for Tuesday Augus
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TuAT1 Marmara Hall Object Detection
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complexity of the co-association ma
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with Shape from Shading, we fully r
Page 79 and 80:
09:40-10:00, Paper TuAT5.3 Adding A
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is integrate the features at a desc
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TuAT8 Lower Foyer Structural Method
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09:00-11:10, Paper TuAT8.8 Backgrou
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A Discrete Labelling Approach to At
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09:00-11:10, Paper TuAT8.25 Backgro
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09:00-11:10, Paper TuAT8.33 A Fast
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09:00-11:10, Paper TuAT8.41 A Varia
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matching 3D CAD models, shape match
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TuAT9 Upper Foyer Biometrics Poster
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09:00-11:10, Paper TuAT9.9 Robust R
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09:00-11:10, Paper TuAT9.17 Probabi
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09:00-11:10, Paper TuAT9.24 Attacki
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09:00-11:10, Paper TuAT9.31 An Effi
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evaluation of micropattern represen
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signed a new encoding method. The e
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09:00-11:10, Paper TuAT9.54 Face Re
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some applications such as stereo ma
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14:50-15:10, Paper TuBT2.5 Compress
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13:50-14:10, Paper TuBT4.2 Localize
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In this article, a new fragile, bli
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14:10-14:30, Paper TuBT7.3 Retinal
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similarities among face carvings ar
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16:00-16:20, Paper TuCT3.2 Level-Se
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A new method to extract dashed line
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16:00-16:20, Paper TuCT6.2 Modeling
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Ramos, Daniel, Univ. Autonoma de Ma
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paper, we proposes a one-shot scann
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13:30-16:30, Paper TuBCT8.16 Visual
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13:30-16:30, Paper TuBCT8.24 Discri
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13:30-16:30, Paper TuBCT8.32 Action
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13:30-16:30, Paper TuBCT8.40 Shape
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13:30-16:30, Paper TuBCT8.48 Accura
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13:30-16:30, Paper TuBCT9.3 Prototy
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13:30-16:30,Paper TuBCT9.11 Writing
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13:30-16:30,Paper TuBCT9.20 Unsuper
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13:30-16:30,Paper TuBCT9.28 Documen
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didate word of the document with wh
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string as an input to the transduce
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to previous pre-processing such as
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Technical Program for Wednesday Aug
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WeAT1 Marmara Hall Tracking and Sur
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ing that is constructed in a tangen
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09:20-09:40, Paper WeAT4.2 Von Mise
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10:00-10:20, Paper WeAT5.4 Face Hal
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09:00-09:20, Paper WeAT7.1 Multi-Vi
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Optimal sharpness differs from imag
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09:00-11:10, Paper WeAT8.14 Automat
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09:00-11:10, Paper WeAT8.22 On the
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09:00-11:10, Paper WeAT8.29 Multi-S
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09:00-11:10, Paper WeAT8.38 An Adap
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09:00-11:10, Paper WeAT8.47 Robust
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09:00-11:10, Paper WeAT8.56 Enhanci
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called 22q11.2 Deletion Syndrome. G
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cally presented simultaneously. Twe
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separate atlas, and identifying the
Page 191 and 192:
09:00-11:10, Paper WeAT9.25 3D Reco
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eling the image background with a p
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09:00-11:10, Paper WeAT9.41 Segment
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This paper presents a new approach
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13:50-14:10, Paper WeBT3.2 Gait Lea
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WeBT5 Topkapı Hall B Feature Extra
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14:10-14:30, Paper WeBT6.3 Script I
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14:50-15:10, Paper WeBT7.5 Gaussian
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16:00-16:20, Paper WeCT2.2 Direct P
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17:00-17:20, Paper WeCT3.5 Length I
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16:20-16:40, Paper WeCT5.3 Developm
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WeCT7 Dolmabahçe Hall C Handwritin
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13:30-16:30, Paper WeBCT8.3 Nonline
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We present a method of performing k
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Tefas, Anastasios, Aristotle Univ.
Page 221 and 222:
For classifier ensembles, an effect
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native power more efficiently becau
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and iterations. To label object can
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13:30-16:30, Paper WeBCT8.53 Spike-
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dicates the possible locations of t
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In the off-line one, an alphabet, o
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image that it is currently displaye
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Answering to a query like when a pa
Page 237 and 238:
13:30-16:30, Paper WeBCT9.30 A Mult
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13:30-16:30, Paper WeBCT9.38 Effici
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Technical Program for Thursday Augu
Page 243 and 244:
ThAT1 Marmara Hall Object Detection
Page 245 and 246:
10:00-10:20, Paper ThAT2.4 Rectifyi
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optimization problem which returns
Page 249 and 250:
10:20-10:40, Paper ThAT5.5 On Selec
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09:20-09:40, Paper ThAT7.2 HMM-Base
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to obtain a background image. We ha
Page 255 and 256:
sidering the fact that the parts in
Page 257 and 258:
Jeon, Moongu, Gwangju Inst. of Scie
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fields of view. The nodes in the to
Page 261 and 262:
09:00-11:10, Paper ThAT8.38 Robust
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We propose a scene classification m
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09:00-11:10, Paper ThAT8.53 Efficie
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letters that can be combined to cre
Page 269 and 270:
Vector Machines. Results show that
Page 271 and 272:
09:00-11:10, Paper ThAT9.19 EEG-Bas
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algorithm that translates brain sig
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09:00-11:10, Paper ThAT9.35 Off-Lin
Page 277 and 278:
In this paper, we present a calibra
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curacy for imagined sign. Pairwise
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gaze estimation improved by 61:06%
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For the interpretation of a visual
Page 285 and 286:
camera parameters by minimizing an
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combination of Gaussians (LCG), Mar
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and video frames were used to evalu
Page 291 and 292:
Mezghani, Neila, Centre de Recherch
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ThCT2 Anadolu Auditorium Classifica
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16:40-17:00, Paper ThCT3.4 Boosted
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16:00-16:20, Paper ThCT5.2 Panorami
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extend this work by using functiona
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prediction of any one supposed expe
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portant characteristic of the image
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13:30-16:30, Paper ThBCT8.19 Word C
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This paper proposes an incremental
Page 309 and 310:
13:30-16:30, Paper ThBCT8.34 Hetero
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13:30-16:30, Paper ThBCT8.43 Local
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13:30-16:30, Paper ThBCT8.52 Combin
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13:30-16:30, Paper ThBCT8.59 Discri
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In this paper, an anisotropic diffu
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13:30-16:30, Paper ThBCT9.12 Image
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of the inner product matrices into
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done on MIT-BIH Arrhythmia database
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13:30-16:30, Paper ThBCT9.36 Fence
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ness and quality of the tracking co
Page 329 and 330:
13:30-16:30, Paper ThBCT9.52 An Emp
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