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The 2007 World Congress in Computer Science,
Computer Engineering, & Applied Computing
Las Vegas, Nevada, USA (June 25-28, 2007)
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IPCV'07: Topics

Last modified 2006-11-12 21:51

    Topics of interest include, but are not limited to, the following:
    • Motion and tracking algorithms and applications
    • Shape representation
    • Software tools and environments for imaging
    • Image-based modeling and algorithms
    • Illumination and reflectance modeling
    • Biometric authentication
    • Event recognition techniques in image sequences
    • Medical image processing and analysis
    • Image geometry and multi-view geometry
    • Segmentation techniques
    • Geometric modeling and fractals
    • Convergence of imaging media (video and computer)
    • Scene and object modeling
    • Image data structures and databases
    • Image compression, coding, and encryption
    • Image display techniques
    • Digital imaging for film and television
    • Image formation techniques
    • Image generation, acquisition, and processing
    • Image feature extraction
    • Novel document image understanding techniques + OCR
    • Enhancement techniques
    • Novel noise reduction algorithms
    • Mathematical morphology
    • 3D imaging
    • Watermarking methods and protection
    • Wavelet methods
    • Mosaic, image registration and fusion methods
    • Fingerprint analysis
    • Color and texture
    • Image restoration
    • Printing technologies
    • Interpolation techniques
    • Video analysis
    • Indexing and retrieval of images (image databases)
    • Signal and speech processing
    • Object recognition
    • Multi-resolution vision techniques
    • Face and gesture
    • Stereo vision
    • Soft computing methods in image processing and vision
    • Machine learning technologies for vision
    • Performance analysis and evaluation (real-time vision)
    • Camera networks and vision
    • Sensors and early vision
    • Active and robot vision
    • Cognitive and biologically inspired vision
    • Fuzzy and neural techniques in vision
    • Graph theory in image processing and vision
    • Special-purpose machine architectures for vision
    • Dimensionality reduction methods in pattern recognition
    • Classification and clustering techniques
    • Symbolic learning
    • Statistical pattern recognition
    • Invariance in pattern recognition
    • Knowledge-based recognition
    • Structural and syntactic pattern recognition
    • Applications including: security, medicine, robotic, GIS, remote sensing, industrial inspection, nondestructive evaluation (or NDE), ...
    • Case studies
    • Emerging technologies
Corporate Sponsors


Academic Co-Sponsors

MIT Media Laboratory
(Cambridge, Massachusetts)
The Computational Biology and Functional Genomics Laboratory Harvard University
(Cambridge, Massachusetts)
Statistical Genomics and Computational Biology Laboratory, Department of Statistics, Harvard University
(Cambridge, Massachusetts)
Biomedical Cybernetics Laboratory, Harvard University
(Cambridge, Massachusetts)

Texas Advanced Computing Center, The University of Texas at Austin
(Austin, Texas)
Statistical and Computational Intelligence Laboratory of Purdue University
(West Lafayette, Indiana)

Center for Computational Biology & Bioinformatics
(Indianapolis, Indiana)

University of Iowa's Medical Imaging HPC Lab
(Iowa City, Iowa)
BioMedical Informatics & Bio-Imaging Laboratory
(Georgia Institute of Technology & Emory University, Georgia)
Intelligent Data Exploration and Analysis Laboratory University of Texas at Austin, USA
Columbia University, Statistical Genetics Research Group
Institute for Informatics Problems of the Russian Academy of Sciences
(Moscow, Russia)

University of North Dakota
(Grand Forks, North Dakota)

Other Co-Sponsors


HPCwire

GRIDtoday
STEM Education Society

HPC Software Inc.

International Technology Institute (ITI)
Hodges' Health

 
Administered by: Universal Conference Management Systems & Support (UCMSS), San Diego, California, USA
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