The 9th International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2026)

The 9th International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2026) focuses on pattern recognition, artificial intelligence, and machine learning, exploring their applications in computer vision, biometrics, medical imaging, and other diverse fields.

Key Topics

• Computer Vision and Robot Vision
  • Early/low-level vision
  • Vision sensors
  • Illumination and reflectance modeling
  • Biologically motivated vision
  • Physics-based vision
  • Image based modeling
  • Shape modeling and encoding
  • Perceptual organization
  • 3D shape recovery
  • Computational photography
  • 3D sensors: depth sensors, ToF, Kinect
  • Motion, tracking and video analysis
  • Activity and event analysis
  • 2D/3D object detection and recognition
  • Occlusion and shadow detection
  • Scene understanding
  • Reconstruction and camera motion estimation
  • Stereo and multiple view geometry
  • Deep learning
  • Vision for graphics
  • Cognitive and embodied visión
  • Vision for robotics
  • Humanoid vision
• Pattern Recognition and Machine Learning
  • Machine learning and data mining
  • Statistical, syntactic and structural pattern recognition
  • Dimensionality reduction and manifold learning
  • Artificial neural networks
  • Graphical Models for Pattern Recognition
  • Classification and clustering
  • Support vector machines and kernel methods
  • Representation and analysis in pixel/voxel images
  • Active and ensemble learning
  • Symbolic learning
  • Pattern recognition for big data
  • Deep learning
  • Semi-supervised learning and spectral methods
  • Transfer learning
  • Reinforcement learning and temporal models
  • Model selection
  • Performance Evaluation
• Document Analysis, Biometrics and Pattern Recognition Applications
  • Handwriting Recognition
  • Character and Text Recognition
  • Document Understanding
  • Graphics Recognition
  • Mixed and Augmented Reality
  • Gesture and Behavior Analysis
  • Novel biometrics
  • Biometric systems and applications
  • Forensic biometrics and applications
  • Multi-biometrics
  • Surveillance and Security
  • Bioinformatics
  • Art, Cultural Heritage and Entertainment
  • Search, Retrieval and Visualization
  • Human computer interaction
  • Industrial image analysis
  • Pattern and digital evidence
  • Analysis of humans
  • Applications of pattern recognition to big data
  • Performance analysis and enhancement
  • Face, fingerprint and iris recognition
  • Other biometrics (gait, soft, speaker, periocular, etc.)
• Image, Speech, Signal and Video Processing
  • Image and video analysis and understanding
  • Image, Speech, Signal and Video Processing
  • Segmentation, features and descriptors
  • Sensor array & multichannel signal processing
  • Enhancement, restoration and filtering
  • Texture and color analysis
  • Facial expression recognition
  • Coding, compression and super-resolution
  • Human computer interaction
  • Affective computing
  • Audio and acoustic processing and analysis
  • Human body motion and gesture based interaction
  • Spoken language processing
  • Automatic speech and speaker recognition
  • Group interaction: analysis of verbal and non-verbal communication
  • Speech and natural language based interaction
  • Depth & range sensor data processing and analysis
  • Multimedia analysis, indexing and retrieval
• Biomedical Image Analysis and Applications
  • Biological image and signal analysis
  • Medical image and signal analysis
  • Computer-aided detection and diagnosis
  • Modeling, simulation and visualization
  • Content based image retrieval and data mining
  • Image guidance and robot guidance of interventions
  • Segmentation of biomedical images
  • Medical and biological imaging
  • Volumetric image analysis
  • Molecular and cellular image analysis
  • Computational anatomy and digital human
  • Deformable object tracking and registration
  • Medical robotics
  • VR/AR in medical education, diagnosis and surgery
  • Brain-computer interfaces
  • Imaging and hardware for health care
  • Algorithms for molecular biology
  • Data mining for biological databases
  • Deep learning for biomedical image analysis