Call for papers [pdf]
The scope of CAIP 2015 includes, but not limited to, the following areas:
- 2D-to-3D
- 3D TV
- 3D Vision
- Applications
- Approximation methods
- Big data
- Biometrics
- Brain-inspired algorithms
- Calibration techniques
- Classification
- Clustering algorithms
- Color and texture
- Complex natural images
- Data models
- Defocus deblurring
- Delineation
- Depth
- Dimension reduction
- Document analysis
- Edge/contour detection
- Enhancement of video and still images
- Eye blink detection
- Face recognition
- Feature extraction
- Feature selection
- Gaussian processes
- Gaze estimation
- Gesture recognition
- Graph-based Methods
- Grouping
- Human pose estimation
- Image and video indexing and database retrieval
- Image and video processing
- Image color analysis
- Image fusion
- Image representation
- Image restoration
- Image-based modeling
- Information theory
- Invariance
- Kernel methods
- Keypoint detection
- Logical Combinatorial Pattern Recognition
- Machine learning
- Machine vision applications
- Medical imaging
- Mixture models
- Mobile multimedia
- Model-based vision approaches
- Morphology
- Motion Analysis
- Motion deblurring
- Multiclassifier system
- Natural computation for digital imagery
- Non-photorealistic animation and modeling
- Novel algorithms and techniques
- Object modelling
- Object recognition
- Particle filter framework
- Pattern recognition for natural language processing
- Pattern recognition in audio signals
- Pattern recognition in financial data
- Pattern recognition in non-visual data
- Pattern recognition on mobile devices
- Performance evaluation
- Photometric stereo
- Pose estimation
- Predictive models
- Query processing
- Range image
- Reconstruction techniques
- Search problems
- Segmentation
- Semantic image labelling
- Shape recovery from multiple images
- Shape representation and analysis
- Smoothing methods
- Statistical models
- Stereo image analysis
- Structural pattern recognition
- Surveillance
- Texture
- Three-dimensional displays
- Tracking
- Trainable features
- Transforms
- Uncertainty