Simon Hofmann

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We present algorithms to distinguish between healthy and diseased condition of the heart, based on the analysis of phonocardiograms. The software tries to mimic the decision-making process of a cardiologist by identifying heart beats (S1 and S2), finding extra sounds and murmurs while ignoring all kinds of artefacts and noise. Two different solutions have(More)
In this paper we introduce a new method to track deformable structures with the use of single retro-reflective markers. In addition, the robustness of the presented technique is evaluated under different situations that might be faced during a navigated open liver surgery. Among them one can highlight, deformation, presence of unexpected markers,(More)
Text detection is typically the first step for any text processing such as hand-written text recognition, layout analysis, line detection, or writer identification. This paper describes a new method to detect text in images, particularly in historical document images. For a robust detection, we propose the use of the vesselness filter as a new preprocessing(More)
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