Scale-space Based Feature Point Detection for Noisy Digital Curves

نویسندگان

  • Tevfik Metin Sezgin
  • Randall Davis
چکیده

The Problem: We are building systems that support sketch-based interaction with computers. Part of the foundation for these systems is a module that takes freehand strokes consisting of a series of pixel positions along with their timestamps and generates more meaningful descriptions that approximate the input stroke by lines, curves and their combination. One of the important phases in this stroke approximation process is the feature detection phase, where the corners of the input stroke are identified.

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تاریخ انتشار 2001