Peter Johannes Neugebauer

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Range nder devices are quite useful to measure the geometry of real-world objects. However , the reconstruction of large and complicated objects often requires the acquisition of multiple range images showing diierent views of the object. With our reconstruction method, the relative orientations of all range images are determined via simultaneous(More)
In this paper, we present a method for the reconstruction of real world objects from multiple range images. One major contribution of our approach is the simultaneous registration of all range images acquired from different scanner views. Thus, registration errors are not accumulated, and it is even possible to reconstruct large objects from an arbitrary(More)
When reconstructing objects from multiple range images one has to deal with the problem of large data sets. In our approach, the surface itself is implicitly defined by a signed distance function. The distance function is derived from the range images which are assumed to be already registered. A triangulated model is generated from a rough approximation of(More)
Recent research topics deal with the problem how to reconstruct real-world objects from a set of multiple range images showing only portions of the object. Here we present an approach how to generate and adapt a geometrical deformable model (GDM) to a set of already registered range images in order to reconstruct the complete object. From the range images(More)
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