Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

@article{Bouris2010FastAE,
  title={Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm},
  author={Dimitris Bouris and Antonis Nikitakis and Ioannis Papaefstathiou},
  journal={2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines},
  year={2010},
  pages={3-10}
}
Feature detectors are schemes that locate and describe points or regions of `interest' in an image. Today there are numerous machine vision applications needing efficient feature detectors that can work on Real-time; moreover, since this detection is one of the most time consuming tasks in several vision devices, the speed of the feature detection schemes severally affects the effectiveness of the complete systems. As a result, feature detectors are increasingly being implemented in state-of… CONTINUE READING
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