I pursued a full-time PhD in parallel with my full-time research position as a Principal Research Scientist at SRI International, and finished my PhD in 5 years (2010-2014).
Developed novel algorithms for image matching under disparate appearance (e.g. matching between image pairs like day-night, historic-current, painting-picture) using spectral correspondence. Developed purely geometric algorithms for geo-localization of street-level imagery using reference digital elevation data. Developed novel technology to match between aerial-oblique and street-view imagery of building facades with applications to image-based geo-localization.
Photos and videos taken from cell phones, laptop cameras, and other devices often contain critical information about the locations of the people, buildings, and objects seen in the imagery. The widespread availability of these images and videos has greatly expanded the volume of information requiring labor-intensive analyst review, even though quick assessment may be necessary for certain operations.
Because of the lack of geolocalization tools for metadata-free images and videos, analysts must manually geolocate these images and videos by visually comparing them with terrain models and overhead images.