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INTEGRATING COMPLEMENTARY INFORMATION FOR PHOTOREALISTIC REPRESENTATION OF
LARGE-SCALE ENVIRONMENTS
by
Jinhui Hu
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
May 2007
Copyright 2007 Jinhui Hu
Object Description
| Title | Integrating complementary information for photorealistic representation of large-scale environments |
| Author | Hu, Jinhui |
| Author email | jinhuihu@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2006-11-20 |
| Date submitted | 2007 |
| Restricted until | Unrestricted |
| Date published | 2007-03-28 |
| Advisor (committee chair) | Neumann, Ulrich |
| Advisor (committee member) |
Nevatia, Ramakant [illegible] Kuo, C.C. Jay |
| Abstract | A wealth of datasets from different sensors exists for environment representation. The key observations of this thesis are that the different datasets are complementary and that fusing information from complementary datasets reduces errors in processing each dataset. In addition, a fusion method benefits from the merit of each dataset, hence helps us to represent large-scale environments in an efficient and accurate way.; This thesis presents a hybrid approach fusing information from four complementary datasets, LiDAR data, aerial images, ground images and videos, to photorealistically represent large-scale environments. LiDAR data samples are dense in surface points and they directly measure model heights with accuracy up to centimeters. However, edges from LiDAR data are jaggy due to the relatively low sampling rate (usually one meter) of the sensor and reconstruction results from LiDAR lack color information. On the other hand, aerial images provide detailed texture and color information in high-resolution, making them necessary for texture data and appealing for extracting detailed model features. However, reconstruction from stereo aerial images often generates sparse points, making them unsuitable for reconstruction of complex surfaces, such as curved surfaces and roofs with slopes. Ground images offer high-resolution texture information and details of model façades, but they are local, static and lack the capability to provide information of the most recent changes in the environment. Live videos are real-time, making them ideal for updating the information of the environment, however, they are often low-resolution. A natural conclusion is to combine the geometry, photometry, and other sensing sources to compensate for the shortcomings of each sensing technology and obtain a more detailed and accurate representation of the environment.; In this thesis, we first fuse information from both LiDAR and an aerial image to create urban models with accurate surfaces and detailed edges. We then enhance the models with high-resolution façade textures to improve the visual quality, and update them with dynamic textures from videos to capture the most up-to-date environment information. The representation results have accurate surfaces, detailed edges, overview colors, ground view textures and real-time imagery information. |
| Keyword | building modeling; LiDAR; aerial images; ground images |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m332 |
| Rights | Hu, Jinhui |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Hu-20070328 |
| Archival file | uscthesesreloadpub_Volume17/etd-Hu-20070328.pdf |
Description
| Title | Page 1 |
| Full text | INTEGRATING COMPLEMENTARY INFORMATION FOR PHOTOREALISTIC REPRESENTATION OF LARGE-SCALE ENVIRONMENTS by Jinhui Hu A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) May 2007 Copyright 2007 Jinhui Hu |
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