Geodesy & Geomatics Engineering

William Liu's MScE defence

Author: GGE

Posted on Aug 23, 2022

Category:

We are excited to announce that Geodesy & Geomatics Engineering (GGE) student William Liu's MScE defence will be held on Wednesday, Aug. 24 at 2 p.m. Atlantic time.

The title of William's dissertation is: Improving Forward Mapping and Disocclusion Inpainting Algorithms for Depth-Image-Based Rendering and Mapping and his work is supervised by Dr. Yun Zhang. Dr. Shabnam Jabarai will chair the proceedings.

To watch the defence: The defence will take place in new Head Hall (15 Dineen Dr.), on E level in Room 11 or you may contact Lisa Valenta (l.valenta@unb.ca) for a link to join the proceedings remotely over Teams.

Examining Board: Dr. Shabnam Jabari (GGE), Dr. Yun Zhang (GGE), Dr. Kevin Englehart (Electrical and Computer Engineering).

Abstract

Depth-image-based Rendering (DIBR) is a promising technique to generate appealing and immersive contents for virtual reality image mapping. When mapping a reference image to a virtual image, two challenges exist: (1) the most widely used forward mapping algorithm is prone to generating synthetic artifacts; and (2) the existing disocclusion inpainting algorithms are not able to fill big holes in a visually plausible way. This research conducted a comprehensive investigation on the forward mapping algorithm and developed a new algorithm that can eliminate all the reported artifacts of small cracks. This research also developed a novel directional and adaptive hole-filling algorithm using an exemplar-based approach to fill big holes. The performance of the developed algorithms was validated using images from a selected benchmark database. Quantitative and qualitative assessments proved that the developed algorithms have clearly outperformed the state-of-the-art algorithms. The developed algorithms were applied to outdoor/indoor mapping applications to prove the concept. It validated the feasibility of using the developed algorithms to improve user experiences on existing Street View technologies.