基于RGB-D传感器的面包识别系统

2015 International Conference on Informatics, Electronics & Vision (ICIEV) Pub Date : 2015-06-15 DOI:10.1109/ICIEV.2015.7334051

M. Morimoto, Akira Higasa

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引用次数: 3

摘要

为提高目标识别精度，引入RGB-D传感器获取深度特征，并结合不同特征构建两阶段识别方法。实验结果表明，结合这两种改进方法可以有效地区分相似目标。

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A bread recognition system using RGB-D sensor

To improve object recognition accuracy, we introduce RGB-D sensor to get depth features and we construct two-stage recognition which combine recognition method with different characteristics. Experimental result show that the combination of these two refinement is effective to distinguish similar objects.

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来源期刊

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

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