14th National and 4th International Conference on Machine Vision and Image Processing (MVIP 2026)
28–29 January 2026 – University of Kashan, Iran
MVIP 2026 invites researchers, academics, and industry professionals to submit original and high-quality papers in the fields of machine vision, image processing, and intelligent visual systems. The conference provides a platform for presenting cutting-edge research, exchanging ideas, and fostering interdisciplinary collaboration.
Computer Vision Fundamentals
• Image acquisition and enhancement
• Stereo vision and multi-view geometry
• Optical flow and motion analysis
• Video processing and surveillance
• Hyperspectral and multispectral imaging
Deep Learning and AI in Vision
• CNNs for image tasks
• GANs for image synthesis
• Transformer-based visual models
• Transfer learning and domain adaptation
• Explainable AI in vision systems
Object Detection and Recognition
• Face and biometric recognition
• Semantic and instance segmentation
• Pose estimation and human activity analysis
• Vehicle and pedestrian detection
• Anomaly detection
Medical and Biomedical Imaging
• Medical image analysis and diagnosis
• Anatomical structure segmentation
• AI-assisted radiology and pathology
• Bioinformatics and genomic imaging
• Real-time imaging for surgery and telemedicine
Industrial and Applied Vision
• Quality control and defect detection
• AR and VR integration
• Robotics vision and autonomous navigation
• Remote sensing and environmental monitoring
• Security and forensic image analysis
Advanced Techniques and Challenges
• Low-level vision (denoising, super-resolution)
• 3D reconstruction and point cloud processing
• Edge computing for real-time vision
• Privacy-preserving visual computing
• Ethical AI and bias mitigation
Full papers (6–8 pages) or short papers (4 pages) in IEEE two-column format. All submissions will undergo a double-blind peer review process.
• Submission Deadline: 21 December 2025
• Notification: 1 January 2026
• Camera-ready: 15 January 2026
• Conference Dates: 28–29 January 2026