ICCCV 2013 - 2013 2nd International Conference on Computing and Computer Vision

2013 2nd International Conference on Computing and Computer Vision (ICCCV 2013) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Computing and Computer Vision. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
Machine Vision, Image Processing, and Pattern Analysis
Imaging Sensors
Color and Texture Analysis
Segmentation
Motion and Tracking
Stereo Vision
Biometrics Recognition
Image-Based Modeling
Calibration and Geometry
Illumination and Reflectance Modeling
Soft Computing for Machine Vision
Physics-Based Modeling
Artificial Intelligence for Machine Vision
Video Analysis
Face and Gesture Recognition
Action and Event Recognition
Similarity/Dissimilarity Metrics
Machine Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Structure from Motion
Image Registration
Image Enhancement
Clustering
Morphology and Blob Analysis
Applications of Machine Vision
Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Representation
Recognition (2D and 3D)
Texture and Color
Scene Understanding
Segmentation
Shape from X
Visual Navigation
Pattern Recognition and Basic Technologies
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Neural Networks
Machine Learning and Data Mining
Artificial Intelligence and Symbolic Learning
Classification and Clustering
Feature Selection, Dimensionality Reduction, Manifold Learning
Kernel Methods and Support Vector Machines
Invariance in Recognition
Multiresolution Techniques
OCR, Document Analysis and Understanding
Information Retrieval
All papers for the ICCCV 2013 will be published in the Journal of Image and Graphics (JOIG, ISSN: 2301-3699) as one volume, and will be indexed by Google Scholar, CrossRef, ETLibrary, DOAJ, MELib, IndexCopernicus, EBSCO and JournalSeek.