Flex Conference (Physical / Digital)

International Conference on Recent Trends in Image Processing & Pattern Recognition - (ICRTIPPR-25)

4th-5th January 2025, Zurich, Switzerland

Call For Papers

  • Software tools for imaging
  • Image-based modeling and algorithms
  • Illumination and reflectance modeling
  • Motion and tracking algorithms + orientation estimation
  • Biometric authentication
  • Event recognition techniques in image sequences
  • Medical image processing and analysis
  • Image geometry and multi-view geometry
  • Segmentation techniques
  • Geometric modeling and fractals
  • Scene and object modeling
  • Image data structures and databases
  • Image compression, coding, and encryption
  • Image display techniques
  • Digital imaging for film and television
  • Image formation techniques
  • Image generation, acquisition, and processing
  • Image feature extraction
  • Novel document image understanding techniques + OCR
  • Enhancement techniques
  • Novel noise reduction algorithms
  • Mathematical morphology
  • 3D imaging
  • Watermarking methods and protection
  • Wavelet methods
  • Wavelets, data hiding, image copyright and related issues
  • Mosaic, image registration and fusion methods
  • Color and texture
  • AI, machine learning, SVT with applications in imaging science
  • Image restoration
  • Printing technologies
  • Interpolation techniques
  • Shape representation
  • Video analysis
  • Indexing and retrieval of images (image databases)
  • Signal and speech processing
  • Object recognition
  • Multi-resolution vision techniques
  • Face recognition, face detection, and gesture recognition
  • Stereo vision
  • Soft computing methods in image processing and vision
  • Machine learning technologies for vision
  • Performance analysis and evaluation (real-time vision)
  • Camera networks and vision
  • Sensors and early vision
  • Active and robot vision
  • Cognitive and biologically inspired vision
  • Fuzzy and neural techniques in vision
  • Graph theory in image processing and vision
  • Special-purpose machine architectures for vision
  • Dimensionality reduction methods in pattern recognition
  • Classification and clustering techniques
  • Symbolic learning
  • Statistical pattern recognition
  • Invariance in pattern recognition
  • Knowledge-based recognition