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The 2006 World Congress in Computer Science
Computer Engineering, and Applied Computing

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(  J  u  n  e    2  6  -  2  9,    2  0  0  6 )

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IPCV'06: Scope

Last modified 2005-11-29 19:23

I
P
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'06

    Topics of interest include, but are not limited to, the following:

      • Motion and tracking algorithms and applications
      • Image-based modeling and algorithms
      • Illumination and reflectance modeling
      • Shape representation
      • Video analysis
      • Event recognition techniques in image sequences
      • Medical image processing and analysis
      • Segmentation techniques
      • Geometric modeling and fractals
      • Visualization
      • Convergence of imaging media (video and computer)
      • Biometric authentication
      • Scene and object modeling
      • Image data structures and databases
      • Image compression, coding, and encryption
      • Image display techniques
      • Image geometry
      • Digital imaging for film and television
      • Image formation techniques
      • Image generation, acquisition, and processing
      • Image feature extraction
      • Multi-view geometry
      • Document image understanding + OCR
      • Image algebra
      • 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
      • Software tools and environments for imaging
      • Indexing and retrieval of images (image databases)
      • Signal and speech processing
      • Object recognition
      • Face and gesture
      • Machine learning technologies for vision
      • Performance analysis and evaluation (real-time vision)
      • Camera networks and vision
      • Sensors and early vision
      • Stereo vision
      • Active and robot vision
      • Cognitive and biologically inspired vision
      • Soft computing methods in image processing and vision
      • Multi-resolution vision techniques
      • Fuzzy and neural techniques in vision
      • Graph theory in image processing and vision
      • Special-purpose machine architectures for vision
      • Classification and clustering techniques
      • Symbolic learning
      • Statistical pattern recognition
      • Invariance in pattern recognition
      • Knowledge-based recognition
      • Structural and syntactic pattern recognition
      • Dimensionality reduction methods in pattern recognition
      • Applications including: security, medicine, robotic, GIS, remote sensing, industrial inspection, nondestructive evaluation (or NDE), ...
      • Case studies


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Universal Conference Management Systems & Support
San Diego, California, USA
Contact: Kaveh Arbtan

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