Topics

This year's topics include, but are not limited to:

• Image Analysis and Computer Vision
    Mathematical Foundations
    Low-level Vision, Segmentation
    Biological Vision and Natural Scene Statistics
    Graphical Models and Probabilistic Inference
    Combinatorial Methods, Perceptual Grouping
    Shape Representation and Analysis
    Surface Reflectance Recovery and Modeling
    Motion, Matching and Registration
    Tracking and Video Analysis
    Multi-View Geometry and 3D Reconstruction
    Object (Class) Recognition and Detection
    Knowledge Representation and High-Level Vision


• Machine Learning and Statistical Data Analysis


• Speech Recognition and Language Understanding


• Biomedical Data Analysis and Imaging, Biometrics


• Applications of Pattern Recognition in Natural Sciences


• Industrial and Technical Applications of Pattern Recognition and Image Processing