6th Symposium on Pattern Recognition and Applications (SPRA 2025)

Topics

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