Peter Andreas Entschev

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Multi-scale interest point detectors such as the one used in the SIFT object recognition framework have been of interest for robot vision applications for a long time. However, the computationally intensive algorithms used for the construction of multi-scale image pyramids make real-time operation very difficult to be achieved, especially when a low-power(More)
The construction of multi-scale image pyramids is used in state-of-the-art methods that perform robust object recognition, such as SIFT and SURF. However, building such image pyramids is computationally expensive , especially when implementations in embedded systems with limited computing resources are considered. Therefore, the use of alternative less(More)
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