An adaptive method for detecting dominant points.

DOI10.1016/S0031-3203(03)00087-6zbMath1054.68157OpenAlexW1965348147MaRDI QIDQ1403780

Wen-Yen Wu

Publication date: 4 September 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(03)00087-6

zbMATH Keywords

Polygonal approximationCurvatureDominant pointsRegion of support

Mathematics Subject Classification ID

Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Related Items (8)

Cubic Bézier approximation of a digitized curve ⋮ Optimized polygonal approximation by dominant point deletion ⋮ A discrete geometry approach for dominant point detection ⋮ Unsupervised segmentation and approximation of digital curves with rate-distortion curve modeling ⋮ Dominant point detecting based non-uniform B-spline approximation for grain contour ⋮ UNIFIED INTERACTIVE WAVELET APPROACH FOR 2D SKETCH SEGMENTATION AND EDITING ⋮ Polygonal approximation of digital planar curves through break point suppression ⋮ Corner detection and curve segmentation by multiresolution chain-code linking

Cites Work

• ACORD -- an adaptive corner detector for planar curves
• Another look at the dominant point detection of digital curves
• Improving fitting quality of polygonal approximation by using the dynamic programming technique

This page was built for publication: An adaptive method for detecting dominant points.