部分隐藏对象的提取与识别方法

2015 International Conference on Informatics, Electronics & Vision (ICIEV) Pub Date : 2015-06-15 DOI:10.1109/ICIEV.2015.7334055

Takaaki Oka, M. Morimoto

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引用次数: 5

摘要

为了实现实际应用中的目标识别，需要对分层目标进行处理。本文将RGB-D传感器引入到目标识别系统中，用于处理重叠目标。在该方法中，我们将目标分割成多个片段，并参考部分识别方案进行合并。经过多次实验，该方法可识别30%的被遮挡物体，具有足够的精度。

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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An extraction and recognition method for partially hidden objects

To realize object recognition in practical applications, it is necessary to handle layered objects. In this paper we introduce RGB-D sensor for object recognition system to treat overlapped objects. In the proposed method, we divide objects into segments and merge them by consulting partially recognition scheme. By several experiments, out method can recognize 30% occluded object with enough accuracy.

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2015 International Conference on Informatics, Electronics & Vision (ICIEV)

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