Accelerated image capturing for 3D modeling in mobile environment

MPhil Thesis Defence


Title: "Accelerated image capturing for 3D modeling in mobile environment"

By

Mr. Tony Wai Sum JI


Abstract

3D modeling on a smartphone is becoming increasingly attractive due to the 
performance enhancements in smartphone hardware and its embedded computer 
vision algorithms. No matter what kind of algorithms we use, an image set input 
is always required. For research purposes, we may capture an image set of good 
quality with ease, but in practice, when using modeling applications, ordinary 
people usually can't produce an image set with sharp edges and capturing all 
perspectives of the object, which may result in an output having poor 
visualization.

To harness the smartphone's computing power and make those modeling apps 
adaptive to the ordinary people, we designed and implemented a pipeline to 
produce image sets with better quality. This quality can be reflected in the 
set's completeness, as well as the sharpness of each image. By utilizing the 
embedded computer vision algorithms, we can also store valuable information 
inside each image, which can be further used for supplementary or verification 
purposes in the reconstruction process.

Furthermore, the implementation of the pipeline is done utilizing the 
smartphone CPU's vector computing capabilities. This significantly reduced its 
run time and increased overall performance. Meanwhile, by having a cache 
management system, it is also convenient to extend the pipeline to add more 
computation stages.


Date:			Thursday, 16 January 2020

Time:			2:00pm - 4:00pm

Venue:			Room 3494
 			Lifts 25/26

Committee Members:	Prof. Long Quan (Supervisor)
 			Dr. Pedro Sander (Chairperson)
 			Prof. Chiew-Lan Tai


**** ALL are Welcome ****