New method to find corner and tangent vertices in sketches using parametric cubic curves approximation

被引:6
|
作者
Albert, F. [1 ]
Fernandez-Pacheco, D. G. [2 ]
Aleixos, N. [1 ]
机构
[1] Univ Politecn Valencia, Inst Interuniv Invest Bioingn & Tecnol Orientada, Valencia 46022, Spain
[2] Univ Politecn Cartagena, DEG, Cartagena 30202, Spain
关键词
Corner and tangent vertices detection; Hand-drawn and sketch segmentation; Image object recognition; Natural interfaces; DOMINANT POINTS; FOURIER; SEGMENTATION; INTERFACE; KNOWLEDGE;
D O I
10.1016/j.patcog.2012.11.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Some recent approaches have been presented as simple and highly accurate corner finders in the sketches including curves, which is useful to support natural human-computer interaction, but these in most cases do not consider tangent vertices (smooth points between two geometric entities, present in engineering models), what implies an important drawback in the field of design. In this article we present a robust approach based on the approximation to parametric cubic curves of the stroke for further radius function calculation in order to detect corner and tangent vertices. We have called our approach Tangent and Corner Vertices Detection (TCVD), and it works in the following way. First, corner vertices are obtained as minimum radius peaks in the discrete radius function, where radius is obtained from differences. Second, approximated piecewise parametric curves on the stroke are obtained and the analytic radius function is calculated. Then, curves are obtained from stretches of the stroke that have a small radius. Finally, the tangent vertices are found between straight lines and curves or between curves, where no corner vertices are previously located. The radius function to obtain curves is calculated from approximated piecewise curves, which is much more noise free than discrete radius calculation. Several tests have been carried out to compare our approach to that of the current best benchmarked, and the obtained results show that our approach achieves a significant accuracy even better finding corner vertices, and moreover, tangent vertices are detected with an Accuracy near to 92% and a False Positive Rate near to 2%. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1433 / 1448
页数:16
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