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M.S. Thesis Defense: Michael Jones
Tuesday, November 27, 2012
3:00 p.m.
Room 2460, AVW Building
For More Information:
Maria Hoo
301 405 3681

ANNOUNCEMENT: M.S. Thesis Defense

Name: Michael Jones


Professor Rama Chellappa (advisor)

Professor Larry S. Davis

Professor Jonathan Simon

Date/TIme: November 27, 2012 at 3PM

Location: Room 2460, AVW Building

Title: Image Geolocation through Hierarchical Classification and Dictionary-Based Recognition


Image geolocation, estimating GPS coordinates from an image, is a relatively new endeavor in the field of computer vision. This paper presents two approaches to obtain the coordinates: hierarchical and dictionary-based. The hierarchical approach uses SVMs to first determine the general environment of the image and then estimates the exact location within that environment. The dictionary-based approaches are performed with linear and non-linear dictionaries using K-SVD and KK-SVD. Both methods are performed on the image feature gist and histograms of the image's color, SIFT descriptors, textons, and lines. Both the hierarchical and dictionary-based approaches build upon and combine existing systems to provide improved accuracy on a data set of twelve locations belonging to four environmental types.

This Event is For: Graduate • Faculty

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