Call For Papers
You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to MVIPIT 2023 conference. Topics of interest for submission include, but are not limited to:
Machine Vision

Statistics and Machine Learning for Vision
Stereo, Calibration, Geometric Modelling and Processing
Face and Gesture Recognition
Early and Biologically Inspired Vision
Motion, Flow and Tracking
Segmentation and Grouping
Model-based Vision
Image Processing Techniques and Methods
Texture, Shape and Colour
Video Analysis
Document Processing and Recognition
Vision for Quality Assurance, Medical Diagnosis, etc.
Vision for Visualisation, Interaction, and Graphics
Object Detection and Recognition
Shape-from-X
Video Analysis for Action and Event Recognition
Illumination and Reflectance
Deep Learning for Vision
3D Computer Vision
RGBD Analysis
Remote Sensing and Photography
Smart Camera
Visual Inspection
Image Acquisition
Feature Extraction
Image Storage

Image Processing & Imaging Technology

Sensing, Representation, Modeling, and Registration
Synthesis, Rendering, and Visualization
Texture Image Representation and Classification
Computational Imaging
Restoration and Enhancement
Filtering and Multiresolution Processing
Interpolation, Super-resolution, and Mosaicing
Compression, Coding, and Transmission
Color, Multispectral, and Hyperspectral Imaging
Stereoscopic, Multiview, and 3D Processing
Image & Video Perception and Quality Models
Motion Estimation, Registration, and Fusion
Deep Learning for Images and Videos
Robustness in Image Processing and Learning
Image & Video Analysis and Segmentation
Detection, Recognition, and Classification
Image & Video Labeling and Retrieval
Biometrics, Forensics, and Security
Image Processing for Geophysics
Image Processing for Public Health and Safety
Biomedical and Biological Image Processing
Image & Video Systems and Applications
Image Coding Compression
Image Information Management
Digital Watermarking Technology
Image Transformation