Jeffrey A. Delmerico

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— Building facade detection is an important problem in computer vision, with applications in mobile robotics and semantic scene understanding. In particular, mobile platform localization and guidance in urban environments can be enabled with an accurate segmentation of the various building facades in a scene. Toward that end, we present a system for(More)
— Localization and modeling of stairways by mobile robots can enable multi-floor exploration for those platforms capable of stair traversal. Existing approaches focus on either stairway detection or traversal, but do not address these problems in the context of path planning for the autonomous exploration of multi-floor buildings. We propose a system for(More)
—Boosting has been widely used for discriminative modeling of objects in images. Conventionally, pixel-and patch-based features have been used, but recently, features defined on multilevel aggregate regions were incorporated into the boosting framework, and demonstrated significant improvement in object labeling tasks. In this paper, we further extend the(More)
—Microarray-based comparative genomic hybridiza-tion (aCGH) offers an increasingly fine-grained method for detecting copy number variations in DNA. These copy number variations can directly influence the expression of the proteins that are encoded in the genes in question. A useful analysis of the data produced from these microarray experiments is pairwise(More)
We present AirTouch, a new vision-based interaction system. AirTouch uses computer vision techniques to extend commonly used interaction metaphors, such as multitouch screens, yet removes any need to physically touch the display. The user interacts with a virtual plane that rests in between the user and the display. On this plane, hands and fingers are(More)