Scale-Space for Discrete Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the convex hull of the integer points in a disc
SCG '91 Proceedings of the seventh annual symposium on Computational geometry
Fast, accurate and convergent tangent estimation on digital contours
Image and Vision Computing
Comparison of Discrete Curvature Estimators and Application to Corner Detection
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Technical Section: Normals estimation for digital surfaces based on convolutions
Computers and Graphics
On the convergence of derivatives of Bernstein approximation
Journal of Approximation Theory
Normals and curvature estimation for digital surfaces based on convolutions
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Binomial convolutions and derivatives estimation from noisy discretizations
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Analysis and comparative evaluation of discrete tangent estimators
DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Integral based curvature estimators in digital geometry
DGCI'13 Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery
Convergence of level-wise convolution differential estimators
DGCI'13 Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery
| Hi-index | 5.23 |
We present a derivative estimator for discrete curves and discretized functions which uses convolutions with integer-only binomial masks. The convergence results work for C^2 functions, and as a consequence we obtain a complete uniform convergence result for parameterized C^2 curves for derivatives of any order.