SS36-Computer Graphics and Visualization

DOWNLOAD: Special Session

Session Chair/ Session Organizers:
Dr. Sushma Jaiswal, Computer Science & Information Technology (CSIT), Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur
Tarun Jaiswal, Department of Computer Application, National Institute of Technology (NIT), Raipur (C.G.)


Objective
Special Track of Computer Graphics and Visualization will highlight on efficient and effective digital image and Computer graphics technologies and systems, and provide a central forum for scientists, researchers, engineers and vendors from different disciplines to exchange ideas, identify problems, investigate relevant issues, share common interests, explore new directions, and initiate possible collaborative research and system development. This track/ special issue will significantly benefit a large variety of academic and industrial sectors.

Computers & Graphics is enthusiastic to distribute information on research and applications of computer graphics (CG) techniques. The Special track encourages articles on:


Topics of interest include, but are not limited to:


• Natural object recognition and analysis
• New algorithms and/or technologies for biometrics under imaging modalities
• Element of visual perception
• Fourier transforms, Extension to 2 - D, DCT, Walsh transform, Hadamard transforms to represent
• aging modalities
• Huffman and contour coding
• Restoration Models: Constrained & Unconstrained
• Image coding
• Vision-based human-computer interaction
• Human activity and behaviour understanding
• Data fusion from multiple sensor input,
• Image databases
• Medical scanning techniques
• image-guided therapy
• Computer-aided diagnosis
• Robotic surgery and imaging
• Augmented-reality medical visualization
• Imaging genomics
• Computerized radiology, oncology, and surgery
• Image scanning, sampling, and tessellation
• Image representation by partial information
• Local and global schemes of image representation
• Analog and digital image processing
• Fractals and mathematical morphology
• Image understanding and scene analysis
• Deterministic and stochastic image modeling
• Visual data reduction and compression
• Image coding and video communication
• Biological and medical imaging
• Early processing in biological visual systems
• Psychophysical analysis of visual perception
• Astronomical and geophysical imaging
• Visualization of nonlinear natural phenomena
• Real-time imaging
• Machine learning for image classification

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