6th Symposium on Pattern Recognition and Applications (SPRA 2026)

The 6th Symposium on Pattern Recognition and Applications (SPRA 2026) brings together researchers and professionals to discuss advances in pattern recognition, computer vision, signal processing, and machine learning, with applications ranging from medical imaging to biometrics and robotics.

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