Call for Papers

Submissions of original research are invited to IVCNZ on any aspect of image and video computing. Relevant topics include, but are not limited to:

AI approaches to computer vision
Augmented and virtual reality
Automated visual surveillance
Biomedical imaging and visualisation
Biologically inspired vision systems
Biometrics
Calibration techniques
Computer graphics
Deep learning applied to imaging
Face recognition
Feature detection / extraction
Geometric modelling
Graph matching
Image analysis and understanding
Image and video enhancement
Image based rendering

Image compression and coding
Image retrieval
Machine vision applications
Medical imaging applications
Motion tracking and analysis
Multimedia information retrieval
Novel algorithms or techniques
Object recognition
Pattern recognition and classification
Reconstruction techniques
Rendering and scientific visualization
Security and surveillance
Shape recovery from multiple images
Signal processing
Sonar and acoustical imaging
Stereo image analysis

 

Submissions must be complete manuscripts of 5 or 6 pages in double-column format, and should be submitted as PDF files. Paper templates in LaTeX and DOC format will be available shortly.

The conference will consist of a mix of oral and poster sessions. No distinction will be made between the two types of presentation in the proceedings: authors may request the type of presentation they consider most appropriate for their paper; however, the final decision will be made by the program committee.

Papers in PDF format may be uploaded via the web using Easychair paper management system.

In submitting a paper, the authors warrant that should the paper be accepted, the final paper will be prepared in time for inclusion into the published proceedings and that one of the authors will attend the conference and present the paper. The proceedings will be published after the conference; the committee reserves the right to withdraw any paper from the proceedings that is not presented at the conference.

Last Modified: 24 Apr 2018