Noising versus Smoothing for Vertex Identification in Unknown Shapes

2014 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2014-06-23 DOI:10.1109/CVPR.2014.530

Konstantinos A. Raftopoulos, Marin Ferecatu

引用次数: 7

Abstract

A method for identifying shape features of local nature on the shape's boundary, in a way that is facilitated by the presence of noise is presented. The boundary is seen as a real function. A study of a certain distance function reveals, almost counter-intuitively, that vertices can be defined and localized better in the presence of noise, thus the concept of noising, as opposed to smoothing, is conceived and presented. The method works on both smooth and noisy shapes, the presence of noise having an effect of improving on the results of the smoothed version. Experiments with noise and a comparison to state of the art validate the method.

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噪声与平滑在未知形状顶点识别中的应用

提出了一种在形状边界上识别局部形状特征的方法，这种方法是由噪声的存在促进的。边界被看作是一个实函数。对某个距离函数的研究表明，几乎与直觉相反，在存在噪声的情况下，顶点可以更好地定义和定位，因此，与平滑相反，噪声的概念被构思和提出。该方法适用于光滑和有噪声的形状，噪声的存在对光滑版本的结果有改善的影响。噪声实验和与技术状态的比较验证了该方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE Conference on Computer Vision and Pattern Recognition

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