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AUTOMATIC IMAGE MATCHING
FOR MOBILE MULTIMEDIA APPLICATIONS
by
Quan Wang
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
May 2011
Copyright 2011 Quan Wang
Object Description
| Title | Automatic image matching for mobile multimedia applications |
| Author | Wang, Quan |
| Author email | quanwang@usc.edu; wudi890@hotmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2010-12-08 |
| Date submitted | 2011 |
| Restricted until | Unrestricted |
| Date published | 2011-01-24 |
| Advisor (committee chair) | You, Suya |
| Advisor (committee member) |
Neumann, Ulrich Kuo, C.-C. Jay |
| Abstract | Image matching is a fundamental task in computer vision, used to correspond two or more images taken, for example, at different times, from different aspects, or different sensors. Image matching is also the core of many multimedia systems and applications. Today, the rapid convergence of multimedia, computation and communication technologies with techniques for device miniaturization is ushering us into a mobile, pervasively connected multimedia future, promising many exciting applications, such as content-based image retrieval (CBIR), mobile augmented reality (MAR), handheld 3D scene modeling and texturing, and vision-based personal navigation and localization, etc.; Automatic image matching, although notable progresses have been achieved in recent years, is still a challenging problem especially for applications on mobile platforms. Major technical difficulties include the algorithms’ robustness to viewpoint and lighting changes, processing speed and storage efficiency for mobile devices, and the capability to handle inputs from different sensors and data sources.; This research focuses on the advanced technologies and approaches of image matching, particularly targeting mobile multimedia applications. First, a real-time image matching approach is developed. The approach uniquely combines kernel projection technique with feature selection and multi-view training to produce efficient feature representations for real-time image matching. To address the computational and storage efficiency for mobile devices, our produced feature descriptors are highly compact (20-D) in comparisons to the state-of-the-art (e.g. SIFT: 128-D, SURF: 64-D, and PCA-SIFT: 36-D), suiting for applications on mobile platforms. Second, couple with the matching approaches, a fast data search technique has also been developed that can rapidly recover and screen possible matches in a large high-dimensional database of features and images. Third, in order to enhance the distinctiveness and efficiency of image features, a feature augmentation process has been proposed integrating geometry information into local features and producing semi-global image descriptors. Next, combining those developed techniques, an application system called Augmented Museum Exhibitions has been built to demonstrate their effectiveness.; Finally, the research is extended to matching images acquired from different sensor modalities, i.e. corresponding the 2D optical images to 3D range data from LIDAR sensors. The developed high-level feature based matching approach is efficient, being able to automatically register the heterogeneous data with significant differences. |
| Keyword | object recognition and tracking; image correspondences; augmented reality; machine learning; content-based image retrieval; urban modeling; image processing and computer graphics; computer vision and image understanding |
| 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 |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3623 |
| Rights | Wang, Quan |
| 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-WANG-4259 |
| Archival file | uscthesesreloadpub_Volume26/etd-WANG-4259.pdf |
Description
| Title | Page 1 |
| Full text | AUTOMATIC IMAGE MATCHING FOR MOBILE MULTIMEDIA APPLICATIONS by Quan Wang A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) May 2011 Copyright 2011 Quan Wang |
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