Flex Conference (Physical / Digital)
International Conference on Recent Trends in Image Processing & Pattern Recognition - (ICRTIPPR-25)
19th-20th April 2025, New York, USA
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
