An improved corner detection algorithm based on chain-coded plane curves
Pattern Recognition
Shape Description by Time Series
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of significant points and polygonal approximation of digitized curves
Pattern Recognition Letters
Optimal spline fitting to planar shape
Signal Processing
Computer graphics (2nd ed.): C version
Computer graphics (2nd ed.): C version
A boundary concavity code to support dominant point detection
Pattern Recognition Letters
Piecewise Polygonal Approximation of Digital Curves
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
An Improved Method of Angle Detection on Digital Curves
IEEE Transactions on Computers
Technical Section: An efficient technique for capturing 2D objects
Computers and Graphics
Capturing outlines of 2D objects with Bézier cubic approximation
Image and Vision Computing
Graph theory based segmentation of traced boundary into open and closed sub-sections
Computer Vision and Image Understanding
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This paper presents an object coding scheme based on varying Bezier polynomials between cubics, quadratics and linears. Extracted data points, without any other overhead, are the end product of this scheme which form set of Bezier control points. Corner detection as a preprocessing phase simplifies subsequent coding operation and properties of Bezier splines are exploited to extract final data points. The proposed method results in high data reduction without any compromise to the quality of reconstructed shapes. The coding scheme is suitable for real time image processing applications due to its high compression ratio, efficient and accurate representation of given shapes.