Scaling Theorems for Zero Crossings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real time spline curves from interactively sketched data
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Shape Representation by Multiscale Contour Approximation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sketch based interfaces: early processing for sketch understanding
Proceedings of the 2001 workshop on Perceptive user interfaces
Revisiting ShortStraw: improving corner finding in sketch-based interfaces
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
ShortStraw: a simple and effective corner finder for polylines
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
| Hi-index | 0.00 |
Feature point detection is generally the first step in model-based approaches to sketch recognition. Feature point detection in free-hand strokes is a hard problem because the input has noise from digitization, from natural hand tremor, and from lack of perfect motor control during drawing. Existing feature point detection methods for free-hand strokes require hand-tuned thresholds for filtering out the false positives. In this paper, we present a threshold-free feature point detection method using ideas from the scale-space theory.