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