ESR4 – Saha Sunita

Saha Sunita

Country of Origin: India
Host Institution: WUT

Background:

Sunita completed her bachelor's in the Department of Computer Science and Engineering, Gauhati University Institute of Science and Technology, Guwahati University, Assam, India, 2015. Posterior to that she pursued her master's in Technology in the Department of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology, Arunachal Pradesh, India, 2018.

Aspirations within projects:

The process of digitization of cultural heritage objects and the analysis and visualization of multi- modal image data from surface monitoring of cultural heritage (CH) deals with mathematical analysis of 3D Data and Optical Metrology. The main focuses of this work are:

  • Identification of digital model representations for CH objects from different modalities i.e. surface and volumetric-based ones.
  • Development of analysis and visualization methods for selected CH objects with automated and interactive data processing.
  • Validation of developed methods using CH dummies.
  • Application of proposed multi-modal analysis and visualization methods in conservation processes in detection and assessment before and after changes.

And Sunita believes “Cultural Heritage Analysis for New Generation” is a good bunch of problem to play with which can bring together researchers interested in using  geometrical, multi-spectral and surface reflection data analysis and visualization in both micro and macro scale. It could be beneficial to both the professional users as well as the common users.

ESR4: Analysis and visualization of multi modal image data in CH surfaces monitoring

Objectives

  • Identification of digital model representations for CH objects from different modalities (surface- and volumetric-based).
  • Development of analysis and visualization methods for selected CH objects, with automated and interactive data processing.
  • Validation of methods using CH dummies.
  • Application of proposed multi modal analysis and visualization methods in conservation processes (before and after changes detection and assessment).

Main Supervisor:

Co-Supervisor(s):