Computer Science and Engineering
Date of Award
Master of Arts (MA)
Chair and Committee
Understanding an outdoor sceneΓÇÖs 3-D structure has applications in several ∩¼üelds, including surveillance and computer graphics. Scene elementsΓÇÖ time-series brightness gives insight to their geometric orientation; and thus the 3-D structure of the overall scene. Previous works have studied the time-series brightness of individual pixels. However, there are limitations with this approach. Pixels are often quite noisy, and can require a lot of memory. This thesis explores the use of superpixels to address these issues. Superpixels, an approach to image segmentation, over-segment a scene but attempt to ensure that each segment lies on only one scene element. Applying superpixels to webcams reduces the e∩¼Çect of noise on pixelsΓÇÖ time-series brightness, and conserves memory by reducing the number of pixel ΓÇ£entitiesΓÇ¥. This thesis explores methods of solving for a superpixelΓÇÖs surface normal, and demonstrates that the time at which maximum brightness is achieved serves as a basic indicator of geographic orientation.
Tannenbaum, Rachel, "Superpixel Segmentation of Outdoor Webcams to Infer Scene Structure" (2009). All Theses and Dissertations (ETDs). 498.
Permanent URL: http://dx.doi.org/10.7936/K7R20ZDQ