City Modelling Using Image Data and Scan Data

PhD Qualifying Examination


Title: "City Modelling Using Image Data and Scan Data"

by

Mr. Zhexi Wang


Abstract:

This paper surveyed the state-of-art algorithms and process pipelines of 
automatically city modeling from image data and scan data. There are two 
research directions in term of city modeling, one is to generate a large 
amount of models that construct a virtual city which may not represent any 
existing city, and the other is to reconstruct the city models that are 
identical to the ones in the real world. This paper focuses on the 
algorithms to accomplish the later task. To reconstruct models, one can 
use only image data and use Structure from Motion related algorithm to 
generate 3D model, or one can use both image data and laser scanning data 
to generate a more accurate model. The second method requires more data, 
but on the other hand it should be more accurate on the reconstruction 
quality. This paper focuses mainly on the algorithm to process both image 
data and scanning data. I surveyed several papers that cover from 
capturing, alignment, segmentation, modeling and texture synthesis.


Date:                   Monday, 11 April 2011

Time:                   3:00pm - 5:00pm

Venue:                  Room 3416
                         lifts 17/18

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


**** ALL are Welcome ****