The 10th International Conference on Machine Vision and Applications (ICMVA 2027)

The 10th International Conference on Machine Vision and Applications (ICMVA 2027) showcases research and innovations in machine vision, computer vision, deep learning, and image processing, with applications spanning industry, healthcare, security, and autonomous systems.

Key Topics

• Active Vision
  • Wearable and assistive computing
  • Autonomous cameras
  • Real-time 3D scene segmentation and reconstruction
• Computer Vision
  • Video tracking
  • Scene reconstruction
  • Action recognition
  • 3D pose estimation
• Machine Learning
  • Neural networks
  • Artificial intelligence
  • Big data & data mining
• 3D-Vision
  • Laser triangulation
  • Stereovision
  • Multi-cameras
• Image Processing
  • Digital
  • Analog
  • Optical
  • Electronic
  • Hybrid
  • Acoustical
• Deep Learning
  • Deep learning data
  • Fundamental techniques and tools for deep learning model
  • Deep learning based data augmentation
  • Deep learning model architectures
  • Transformers
  • Transfer learning
  • Bias and uncertainty in deep learning frameworks
  • Confidence
  • Applications of deep learning to real problems
• Computational Imaging
  • Coded-aperture imaging
  • Coherent diffractive imaging
  • Super-resolution imaging
• Image Processing Methods
  • Image analysis
  • Pre-processing
  • Segmentation
  • Feature extraction
  • Pattern recognition
  • Classification
  • Understanding
  • Coding
  • Color
  • Modeling
  • Shape
  • Texture
  • Topology
  • Geometry
  • MIMD
  • SIMD
• Machine Vision
  • Industrial inspection
  • Applications
  • Optical metrology
  • Navigation
  • Remote sensing
  • Autonomous vehicles
  • Bio-medical imaging
  • Astronomy and astronautics
  • Data compression
  • Face and gesture recognition
  • Document processing
  • Security and coding
• Machine Vision Systems and Components
  • Sensor fusion
  • Hardware & software
• Image Forensics and Identification
  • Image forgery detection
  • Digital image forensics
  • ID forgery
  • Document forgery detection
  • Document processing
  • Document features identification