Volker Rodehorst

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An efficient hierarchical technique is presented for obtaining dense stereo correspondence using a color image pyramid. We show that matching results of high quality are obtained when using the hierarchical chromatic Block Matching algorithm. Furthermore, we present some results for parallel implementations of the algorithm. Most stereo matching algorithms(More)
Stereo is a well-known technique for obtaining depth information from digital images. Nevertheless, this technique still suffers from a lack in accuracy and/or long computation time needed to match stereo images. A new hierarchical algorithm using an image pyramid for obtaining dense depth maps from color stereo images is presented. We show that matching(More)
The fully automatic and reliable calculation of the relative camera pose from image correspondences is one of the challenging tasks in photogrammetry and computer vision. The problem has not been solved satisfactorily, e.g. in case of critical camera motions or when observing special point configurations. Furthermore, some methods provide multiple solutions(More)
This paper describes some approaches towards an automation in architectural photogrammetry using digital image processing. We present techniques for semi-automatic 3D measurement and the application of digital image analysis to support the extraction of facade primitives. The proposed semi-automatic 3D measurement is used for the determination of tie points(More)
Only few problems in computer vision have been investigated more vigorously than stereo. Nevertheless, the main obstacle on the way to their practical application is the excessively long computation time needed to match stereo images. This paper presents parallel algorithms for edge-based stereo suitable for depth computation. Edge-based stereo techniques(More)
Computer Vision Group, FR 3-11 Computer Science Department, Berlin Technical University, D-10587 Berlin, Germany http://www.cs.tu-berlin.de/~cvworld {klette,koschan,karsten,vr}@cs.tu-berlin.de Abstract The computation of surface data based on visual information is an important sub-component in the computer-graphical surface reconstruction of solids and in(More)
A new robust estimator based on an evolutionary optimization technique is proposed. The general hypothesizeand- verify strategy accelerates the parameter estimation substantially by systematic trial and parallel evaluation without the use of prior information. The method is evaluated by estimation of multi-view relations, i.e. the fundamental matrix.(More)