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Topics

The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome. Topics of interest include, but are not limited to, the following:

Multimedia and Applications:

Multimedia Systems and Applications

Novel Image Processing Applications

Video Analysis

Industrial Inspection

Nondestructive Evaluation

Watermarking Methods and Protection + Wavelet Methods

 

Computer Vision and Recognition:

Active and Robot Vision

Biometric Authentication

Camera Networks and Vision

Cognitive and Biologically Inspired Vision

Fuzzy and Neural Techniques in Vision

Face and Gesture Recognition

Image Feature Extraction

Novel Vision Application and Case Studies

Machine Learning Technologies for Vision

Object Recognition

Sensors and Early Vision

 

Image Processing and Analysis:

3D Imaging

Enhancement Techniques

Image Compression, Coding, and Encryption

Image Generation, Acquisition, and Processing

Image Geometry and Multi-view Geometry

Image Restoration

Image-based Modeling and Algorithms

Mathematical Morphology

Multi-resolution Imaging Techniques

Techniques and Tools for Imaging and Vision:

Segmentation Techniques

Software Tools for Imaging

Soft Computing Methods in Image Processing and Vision

Special-purpose Machine Architectures for Vision

 

Medical and Geospatial Imaging:

Medical Image Processing and Analysis

Novel Document Image Understanding Techniques

Geographic Information System

Remote Sensing


Pattern Recognition and Machine Learning:
Stereo Vision
Bayesian Methods in Pattern Recognition and Matching
Case studies and Emerging technologies
Clustering Techniques
Dimensionality Reduction Methods in Pattern Recognition
Ensemble Learning Algorithms
Invariance in Pattern Recognition
Knowledge-based Recognition

Parsing Algorithms

Statistical Pattern Recognition

Structural and Syntactic Pattern Recognition

Supervised and Un-supervised Classification Algorithms

Symbolic Learning

 

 

 

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