The 5th International Conference on Computer Vision and Information Engineering (CVIE 2027)

The 5th International Conference on Computer Vision and Information Engineering (CVIE 2027) presents advances in computer vision and information engineering, covering imaging intelligence, pattern analysis, machine learning, and computational systems.

Key Topics

• Computer Vision
  • 3D computer vision
  • Action recognition
  • Active and robot vision
  • Biometric authentication
  • Biometrics, face and gesture
  • Biomedical image analysis
  • Camera networks and vision
  • Computational photography, photometry, shape from X
  • Face and gesture recognition
  • Fuzzy and neural techniques in vision
  • Image feature extraction
  • Invariance in pattern recognition
  • Knowledge-based recognition
  • Low-level vision and image processing
  • Machine learning technologies for vision
  • Motion and tracking
  • Recognition: detection, categorization, indexing and matching
  • Robot vision
  • Segmentation, grouping and shape representation
  • Statistical pattern recognition
  • Structural and syntactic pattern recognition
  • Video events, activities and surveillance
• Information Engineering
  • Algorithms and bioinformatics
  • Artificial intelligence
  • Automated software engineering
  • Bioinformatics and scientific computing
  • Computer architecture and VLSI
  • Computer graphics and virtual reality
  • Computer networks and data communication
  • Computer simulation
  • Computational intelligence
  • Data communications
  • Geographical information systems
  • Global navigation satellite systems
  • Grid and scalable computing
  • High performance computing
  • Human computer interaction
  • Information retrieval
  • Information systems
  • Intelligent information and database systems
  • Internet and web applications
  • Knowledge data engineering
  • Soft computing
  • Web and internet computing
  • Wireless communication and mobile computing

Who should Attend

• Computer vision researchers
• Machine learning and AI specialists
• Information engineering professionals
• Pattern recognition and imaging science experts
• Biomedical image analysis researchers
• Robotics and automation developers
• High performance and scalable computing specialists
• Data communication and networking engineers
• Human–computer interaction practitioners
• Academics and industry innovators in intelligent systems