11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019)
Dubrovnik, September 23-25, 2019

https://www.isispa.org/

Special Session on 3D Surface Imaging and Structured Light Scanning

AIMS AND SCOPE

Modern optical 3D surface scanners including structured light scanners can do more than ever before with less size, weight, power and price, but often at the cost of increased system complexity. Most of the proposed scanning solutions are used exclusively in the lab and have yet to be tested in real world applications where their performance may be seriously affected by challenging scanning conditions. Therefore, there is a need to improve current 3D scanners and make them simultaneously simpler and more robust via incremental improvements. On the other hand machine learning, as one of the main artificial intelligence field driving forces, is attracting considerable interest and
may be applied to 3D surface imaging and structured light scanning to achieve more robust performance outside of the lab.

The goal of this special session is to bring together researchers from the fields of computer vision, artificial intelligence and optics to facilitate diffusion of ideas and foster future research in this interdisciplinary area. Topics of interest include, but are not limited to:
- robust signal processing methods for 3D surface imaging and structured light scanning particularly under extreme environmental conditions, for example, direct sunlight or underwater scanning
- machine learning and artificial intelligence for 3D surface imaging and structured light scanning
- optimal coding functions for structured light scanning
- structured light scanning of moving objects
- 3D imaging and structured light solutions on smartphones and tablets

PAPER SUMBISSION INFORMATION

https://www.isispa.org/instructions-for-authors

IMPORTANT DATES

https://www.isispa.org/important-dates

Deadline extended to June 20, 2019.

ORGANIZERS

Tomislav Petković, University of Zagreb, tomislav.petkovic.jr@fer.hr
Tomislav Pribanić, University of Zagreb, tomislav.pribanic@fer.hr