| Matt Boutell (Graduate Student ) |
| UR > CS > Research > Vision > People > Matt Boutell |
![]() | Contact:Matt BoutellCSB 620 Department of Computer Science University of Rochester Rochester, NY 14627 vox: (716) 275-5492 email: boutell@cs.rochester.edu home: http://www.cs.rochester.edu/~boutell vision: http://www.rochester.edu/research/vision/people/Matthew_R_Boutell |
About:Matt is in the third year of the Ph.D. program in Computer Science at the Univesity of Rochester. He is proposing a thesis on Semantic Scene Classification with Chris Brown. He spends most every other waking moment with his wife and three beautiful children. When presented with a rare free moment, he enjoys Bible study, reading, shovelling snow (hence Rochester!), singing bass, and playing tuba. | |
Research Interests:My research interests include machine intelligence, probabilistic inference, and pattern recognition. Semantic scene classification is part of a larger effort to understand the content of real images, and lies at the intersection of my broader interests. In my thesis, I am seeking to bridge the gap between the low-level pixel representation of an image and the high level understanding of it. Our framework relies on semantic material detection as a middle ground and adds to it spatial scene models which may be used to infer the category of the scene. | |
Projects:Semantic Scene Classification: We improve semantic scene classification by using semantic object/ material detectors and spatial models within a probabilistic framework to infer the scene type. | |
Publications:Review of the State of the Are in Semantic Scene Classification (Matthew R. Boutell)Sunset Scene Classification Using Simulated Image Recomposition (Matthew Boutell and Jiebo Luo and Robert T. Gray) | |