This paper presents an application of 3D-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an importa...
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This paper presents an application of 3D-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an important aspect of archaeological research work. Up to now this is a time consuming, inaccurate, and subjective task which leads to tons of unclassified fragments in archives. Computer aided classification could help to get a better understanding of ancient cultures, since all data of an excavation would be accessible to the public, not only- selected parts as it is now. We propose a bottom-up strategy to classify fragments. The profile section (which is a section a the fragment in the direction of the rotational axis) is segmented into its primitives (with certain properties like length) and relations among this primitives (like position and curvature of connecting points). These primitives and the relations form a description language, different profiles have different descriptions.
We present a new algorithm based on Dual Graph Contraction (DGC) to transform the Run Graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) step...
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The main problem we persue in this paper is the question of when a given path-connectedness in Z2 and Z3 coincides with a topological cormectedness. We answer this question provided the path--connectedness is induced ...
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We present a method allowing a significant speed-up of the eigen-detection method (detection based on principle component analysis). We derive a formula for an upper bound on the class-conditional probability (or equi...
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A central problem in stereo matching using correlation techniques lies in selecting the size of the search window. Small windows contain only a small number of data points, and thus are very sensitive to noise and the...
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Stereo computes the distance of objects, "their depth", from two images of two cameras using the triangulation principle. Points of imaged objects are mapped in different locations in the two stereo images. ...
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Stereo computation is just one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous resul...
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Since the mid-1970s, a large number of visual inspection systems and algorithms for industrial inspection have been developed. To be acceptable in industry, vision systems must be inexpensive, within the speed of the ...
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To be acceptable in industry, automatic visual inspection systems must be inexpensive, very accurate and should be flexible enough to accommodate changes in products. This flexibility can be reached if a modular conce...
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ISBN:
(纸本)3540606971
To be acceptable in industry, automatic visual inspection systems must be inexpensive, very accurate and should be flexible enough to accommodate changes in products. This flexibility can be reached if a modular concept that allows a quick and inexpensive adaption of the inspection process to any changes is used. This paper presents a concept where the detection of primitives is separated from the model-based analysis process. Existing patternrecognition software is re-used in the detection stage, allowing any detection algorithm to be tested and used without changing the analysis process. The visual inspection of analog watermeters serves for a demonstration of this concept.
The structural component of a computer vision model expresses qualitative image and scene properties. In our approach a hierarchy of plane graphs forms the structure to represent a variety of different levels of abstr...
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