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An object recognition system for industrial inspection that recognizes objects under similarity transformations in real time is proposed. It uses novel similarity measures that are inherently robust ...
We propose an empirical performance evaluation of five different 2D object recognition techniques. For this purpose, two novel recognition methods that we have developed with the aim to ful@...
Bayesian object recognition is applied to the analysis of complex forest object configurations measured in high-density airborne laser scanning (LIDAR) data. With the emergence of high-resolution ac...
The main advantages of the system are the high speed of data collection and the large field of view, which allows the realization of 360° horizontal and 310° vertical turns during measurements. ...

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