Michael W. Hansen

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We describe a real-time system designed to construct a stable view of a scene through aligning images of an incoming video stream and dynamically constructing an image mosaic. This system uses a video processing unit developed b y the David Samof l Research Center called the Vision Front End (VFE-100) for the pyramid-based image processing tasks requimd to(More)
Two important problems in camera control are how to keep a moving camera xated on a target point, and how to precisely aim a camera, whose approximate pose is known, towards a given 3D position. This paper describes how electronic image alignment techniques can be used to solve these problems, as well as provide other bene ts such as stabilized video.(More)
Reconstruction-based super-resolution algorithms require very accurate alignment and good choice of filters to be effective. Often these requirements are hard to satisfy, for example, when we adopt optical flow as the motion model. In addition, the condition of having enough sub-samples may vary from pixel to pixel. In this paper, we propose an alternative(More)
The aim of the study was to investigate whether various beta-cell stimulatory drugs, given neonatally, influence the incidence of diabetes in BB rats. Newborn BB rats were treated twice daily for 6 days and diabetes development was observed during the following 200-day study period. Compared to a diabetes incidence of 63.8% in 163 control BB rats which(More)
We use Sarnoff’s next-generation video processor, the PVT-200, to demonstrate real-time algorithms for stereo processing, obstacle detection, and terrain estimation from stereo cameras mounted on a moving vehicle. Sarnoff’s stereo processing and obstacle detection capabilities are currently being used in several Unmanned Ground Vehicle (UGV) programs,(More)