CFP

Please download the CFP flyer here(Click)

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:


IMAGE PROCESSING:

Medical Image Processing and  Analysis

3D Imaging

Novel Document Image Understanding Techniques

Enhancement Techniques

Novel Vision Application and Case Studies

Image Compression, Coding, and Encryption

Object Recognition

Image Data Structures and Databases

Sensors and Early Vision

Image Generation, Acquisition, and Processing

Soft Computing Methods in Image Processing and Vision

Image Geometry and Multi-view Geometry

Special-purpose Machine Architectures for Vision

Image Restoration

Stereo Vision

Image-based Modeling and Algorithms


Mathematical Morphology

PATTERN RECOGNITION:

Motion and Tracking Algorithms and Applications

Security

Multi-resolution Imaging Techniques

Medicine

Multimedia Systems and Applications

Robotic

Novel Image Processing Applications

Geographic Information System

Novel Noise Reduction Algorithms

Remote Sensing

Performance Analysis and Evaluation

Industrial Inspection

Segmentation Techniques

Nondestructive Evaluation

Software Tools for Imaging

Bayesian Methods in Pattern Recognition and Matching

Video Analysis

Case studies and Emerging technologies

Watermarking Methods and Protection + Wavelet Methods

Clustering Techniques


Dimensionality Reduction Methods in Pattern Recognition

COMPUTER VISION:

Ensemble Learning Algorithms

Active and Robot Vision

Invariance in Pattern Recognition

Biometric Authentication

Knowledge-based Recognition

Camera Networks and Vision

Parsing Algorithms

Cognitive and Biologically Inspired Vision

Statistical Pattern Recognition

Face and Gesture Recognition

Structural and Syntactic Pattern Recognition

Fuzzy and Neural Techniques in Vision

Supervised and Un-supervised Classification Algorithms

Image Feature Extraction

Symbolic Learning

Machine Learning Technologies for Vision