A Survey of Content-based 3D Object Retrieval in Large Databases

PhD Qualifying Examination


Title: "A Survey of Content-based 3D Object Retrieval in Large Databases"

by

Mr. Hao LIU


Abstract:

In the past decade, low-cost depth sensing devices have successfully been 
applied to real-life scenarios, bringing forward the rapid development of 
applications, e.g. automatic driving, indoor robotic routing, augmented reality 
and real-world reconstruction. A key task of implementing those applications is 
content-based 3D object retrieval, which is one of the central topics in 
computer vision communities.  In this survey, we explore the most important 
methods of retrieving objects represented by 3D point clouds or meshes, and we 
focus on the spatial data structures applied to those methods, which, based on 
our knowledge, is not a well-studied research area. We also review the 
state-of-the-art spatial indexing techniques, aiming to yield future research 
on exploiting advanced spatial data structures to accelerate the 3D object 
retrieval in large databases.


Date:			Wednesday, 15 May 2019

Time:                  	2:00pm - 4:00pm

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Dr. Raymond Wong (Supervisor)
 			Dr. Wilfred Ng (Chairperson)
 			Dr. Qiong Luo
 			Dr. Ke Yi


**** ALL are Welcome ****