• Mathematics
  • Published 2008

Speeding up the Detection of Scale-Space Extrema in SIFT Based on the Complex First Order System

@inproceedings{Umemoto2008SpeedingUT,
  title={Speeding up the Detection of Scale-Space Extrema in SIFT Based on the Complex First Order System},
  author={Toshitaka Umemoto and Koichi Kise},
  year={2008}
}
For object recognition based on nearest neighbor search of local descriptors such as SIFT, it is impor- tant to minimize the cost of extracting image features. The processes of extracting image features are composed of scale-space extrema detection, keypoint localization, orientation assignment and keypoint descriptor.In this paper, we propose a new method of efficient scale-space extrema detection. The scale space of an image is defined as a function, that is produced from the convolution of a… CONTINUE READING

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