Peter Andreas Entschev

  • Citations Per Year
Learn More
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 lowpower(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)
  • 1