Retrieval of Shape using Curves and Contours

Dariusz Jacek Jakóbczak

Abstract

Proposed method is dealing with multi-dimensional data modeling, extrapolation and interpolation using the set of high-dimensional feature vectors. Identification of handwriting, signature, faces or fingerprints need data modeling and each model of the pattern is built by a choice of characteristic key points and multi-dimensional modeling functions. Novel modeling via nodes combination and parameter γ as N-dimensional function enables data parameterization and interpolation for feature vectors. Multi-dimensional data is modeled and interpolated via different functions for each feature: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.

Keywords

image retrieval; pattern recognition; data modeling; vector interpolation; PFC method; feature reconstruction; probabilistic modeling

Cite This Article

Dariusz Jacek Jakóbczak (2020).Retrieval of Shape using Curves and Contours. International Journal of Scientific Advances (IJSCIA), Volume 1| Issue 2: Sep-Oct 2020, Pages 87-91, URL: https://www.ijscia.com/wp-content/uploads/2020/09/Volume1-Isuue-2-Sep-Oct-2020-No.13-87-91.pdf

Publication In

Volume 1 | Issue 2: Sep-Oct 2020