SPRA 2026 (Symposium on Pattern Recognition and Applications) is an academic conference held in Osaka, Japan on 2026-03-19. The paper submission deadline is 2025-12-05. Acceptance notifications are sent on 2025-12-25.
SPRA provides an international technical forum for experts from industry and academia to exchange ideas and present results of on-going research in most state-of-the-art areas of computers and communications.We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals. Topics of interests include but not limited to:
Track 1: Computer Vision
Vision sensors
Early vision
Low-level vision
Biologically motivated vision
Illumination and reflectance modeling
Image based modeling
Physics-based vision
Perceptual organization
Shape modeling and encoding
Computational photography
3D shape recovery
Motion, tracking and video analysis
2D/3D object detection and recognition
Scene understanding
Occlusion and shadow detection
Stereo and multiple view geometry
Reconstruction and camera motion estimation
Vision for graphics
Vision for robotics
Cognitive and embodied vision
Track 2: Biomedical Image Analysis
Vision sensors
Medical image and signal analysis
Biological image and signal analysis
Modeling, simulation and visualization
Computer-aided detection and diagnosis
Image guidance and robot guidance of interventions
Content based image retrieval and data mining
Medical and biological imaging
Segmentation of medical images
Molecular and cellular image analysis
Volumetric image analysis
Deformable object tracking and registration
Computational anatomy and digital human
VR/AR in medical education, diagnosis and surgery
Medical robotics
Brain-computer interfaces
Data mining for biological databases
Algorithms for molecular biology
Track 3: Pattern Recognition and Machine Learning
Statistical, syntactic and structural pattern recognition
Machine learning and data mining
Artificial neural networks
Dimensionality reduction and manifold learning
Classification and clustering
Representation and analysis in pixel/voxel images
Support vector machines and kernel methods
Symbolic learning
Active and ensemble learning
Deep learning
Transfer learning
Semi-supervised learning and spectral methods
Model selection
Reinforcement learning and temporal models
Track 4: Image, Speech, Signal and Video Processing
Signal, image and video processing
Image and video analysis and understanding
Audio and acoustic processing and analysis
Spoken language processing
Sensor array & multichannel signal processing
Segmentation, features and descriptors
Texture and color analysis
Enhancement, restoration and filtering
Coding, compression and super-resolution
Automatic speech and speaker recognition
Multimedia analysis, indexing and retrieval
Track 5: Document Analysis, Biometrics and Pattern Recognition Applications
Pattern Recognition for Bioinformatics
Pattern Recognition for Surveillance and Security
Pattern Recognition for Search, Retrieval and Visualization
Pattern Recognition for Art, Cultural Heritage and Entertainment
Industrial image analysis
Gesture and Behavior Analysis
Mixed and Augmented Reality
Inpainting and Superimposing
Signal Processing for Astronomy
Human Computer Interaction
Display Hardware
Character and Text Recognition
Handwriting Recognition
Graphics Recognition
Document Understanding
Performance Evaluation
Human computer interaction
Speech and natural language based interaction
Human body motion and gesture based interaction
Affective computing
Facial expression recognition
Group interaction: analysis of verbal and non-verbal communication
Biometric systems and applications
Multi-biometrics
Forensic biometrics and its applications
Fingerprint recognition
Face recognition
Iris recognition
Gate recognition
Speaker recognition
Other biometric modalities
Soft biometrics
Security issues
Other applications