Important Dates

Downloads

Call For Paper

The Research Leagues events aim to release a wide range of articles that provide insight and explore the latest advancements in engineering, medicine, social science, applied science, management etc.

Our conference practices methodological, conceptual, and epistemological diversity. But we prefer articles that effectively engage with current intellectual debates. We expect our participants to contribute innovative ideas, perspectives, and research methods.

Our events can potentially revolutionize the current paradigm and pave the way for growth and development. Those who intend to have their original findings and research published through our events should get an idea from the Author Guidelines, Rules for Presentation, and Instruction sections, before anything else.

Engineering

• 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