ICIPVS2024

 

Call For Papers

Aims & Scope

A wide range of topics in the image understanding area is covered but not limited to the following:

ICIPVS-2024 invites submissions in different areas of research but not limited to:

Image Processing Techniques

• Image Enhancement
• Image Restoration
• Image Segmentation
• Image Compression
• Image Fusion
• Super-resolution Imaging
• Noise Reduction Techniques
• Morphological Image Processing
• Color Image Processing
• Multi-scale and Multi-resolution Techniques

Computer Vision Algorithms

• Object Detection and Recognition
• Object Tracking
• 3D Vision
• Feature Extraction and Matching
• Scene Understanding
• Visual Navigation
• Video Analysis and Understanding
• Face Recognition and Analysis
• Gesture Recognition
• Computational Photography

Medical Image Analysis

• Medical Image Segmentation
• Image Registration
• Computer-Aided Diagnosis
• Radiomics and Radiogenomics
• Image-Based Biomarkers
• Surgical Navigation
• Deep Learning in Medical Imaging
• Quantitative Imaging
• Image-Based Treatment Planning

Remote Sensing Applications

• Satellite Image Analysis
• Hyperspectral Image Processing
• Synthetic Aperture Radar (SAR) Imaging
• Environmental Monitoring
• Land Cover Classification
• Change Detection
• Urban Remote Sensing
• Agriculture and Forestry Applications
• Oceanographic Image Analysis
• Disaster Management and Response

Robotics Vision

• Visual Perception for Robots
• Object Manipulation and Grasping
• Visual SLAM (Simultaneous Localization and Mapping)
• Vision-Based Navigation
• Human-Robot Interaction
• Scene Understanding for Robotics
• Robot Vision Systems
• Vision-Based Object Tracking for Robots
• Autonomous Vehicle Vision Systems
• Vision-Based Robot Learning

Augmented Reality

• Markerless Tracking
• Augmented Reality Applications
• User Interface Design for AR
• AR in Healthcare and Medicine
• AR in Education and Training
• Indoor Navigation using AR
• Mobile AR Technologies
• AR Content Creation and Authoring Tools
• Social and Collaborative AR
• AR Visualization Techniques

Human Vision and Perception

• Visual Psychophysics
• Visual Attention and Eye Tracking
• Color Perception
• Depth Perception
• Visual Illusions
• Perceptual Organization
• Visual Cognition
• Visual Memory
• Cognitive Neuroscience of Vision
• Visual Disorders and Rehabilitation

Machine Learning in Vision Science

• Deep Learning for Image Analysis
• Convolutional Neural Networks (CNNs)
• Generative Adversarial Networks (GANs)
• Transfer Learning in Vision Tasks
• Reinforcement Learning for Vision
• Semi-supervised and Unsupervised Learning
• Interpretability and Explainability of ML Models
• Meta-learning Approaches
• Hybrid Models Combining ML and Traditional Vision Techniques
• Ethical and Bias Considerations in ML for Vision