仿射变换下部分遮挡曲面物体识别新方法

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI:10.1109/ISKE.2015.52

Gui-mei Zhang, Jiyuan Xu, Jianxin Liu

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引用次数: 8

摘要

提出了一种新的识别部分遮挡和仿射畸变目标的方法。该方法适用于具有光滑曲面边界的物体。它根据特征点将物体划分为仿射不变部分。并提出了一种新的零件匹配方法。引入鲁棒豪斯多夫距离(Robust Hausdorff distance, RHD)来度量模型特征点集与目标特征点集的相似度。根据新的RHD，可以估计出最优仿射变换。然后根据最优仿射变换计算子曲线匹配对。实验结果表明，该算法能够处理部分遮挡和仿射变换。

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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A New Method for Recognition Partially Occluded Curved Objects under Affine Transformation

A new method dealing with recognition of partially occluded and affine distortion objects is presented. The method is designed for objects with smooth curved boundary. It divides an object into affine-invariant parts based on the feature point. And a new approach for matching each part is presented in this paper. Robust Hausdorff distance (RHD) is introduced to measure the similarity between feature points set of model and that of target. In terms of the new RHD, the optimal affine transform can be estimated. And then the sub-curve match pairs are calculated based on the optimal affine transformation. The experimental results show proposed algorithm are capable of coping with partial occlusion and affine transformation.

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2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

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