Conference Information
CAIP 2019: International Conference on Computer Analysis of Images and Patterns
http://caip2019.unisa.it
Submission Date:
2019-04-01
Notification Date:
Conference Date:
2019-09-02
Location:
Salerno, Italy
Years:
18
CORE: b   QUALIS: b2   Viewed: 19076   Tracked: 12   Attend: 3

Call For Papers
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
Last updated by Dou Sun in 2018-09-01
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