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Automated identification of high-level structures in unorganized point cloud of indoor spaces Indoor space is an important aspect of scene analysis that provides essential information for many applica...
We describe a new technique for finding potential buffer overrun vulnerabilities in security-critical C code. The key to success is to use static analysis: we formulate detection of buffer overruns as...
Due to the effect of climate factors, natural phenomena and human usage, buildings and infrastructures are subject of progressive degradation. The deterioration of these structures has to be monitored...
Data fusion exists in different forms in different scientific communities. The term is used by the image community to address the problem of sensor fusion, where images from different sensors are com...
The actual process of rapid urbanisation is associated with various ecological, social and economic changes in both, the urban area and the surrounding natural environment. In order to keep up with th...
Using a set of colour-infrared aerial photos, we compare a newly developed neural net based clustering method with a method based on the classical ISODATA algorithm. The primary focus is on the detec...
Detecting the difference between two surfaces without the aid of control points is desirable for many industrial applications. We tackle this problem by means of robust surface matching. In presence o...
This thesis implements an automated system that counts pedestrians with 85% accuracy. Two approaches have been considered and evaluated in terms of count accuracy, cost and ease of deployment. The fir...

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