Finding Objects for Assisting Blind People.
Finding Objects for Assisting Blind People.
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DOI：
10.1007/s13721-013-0026-x
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发表时间：
2013-07-01
影响因子：
2.3
通讯作者：
Tian, Yingli
中科院分区：
文献类型：
--
作者：
Yi, Chucai;Flores, Roberto W;Chincha, Ricardo;Tian, Yingli
计算机视觉技术已被广泛应用于盲人辅助，如导航和认路。然而，几乎没有开发出基于相机的系统来帮助盲人或视障人士寻找日常必需品。本文提出了一个基于摄像机网络和基于匹配识别的盲人辅助目标发现原型系统。我们收集了一组生活必需品的数据集，并使用加速稳健特征(SURF)和尺度不变特征变换(SIFT)特征描述符来执行目标识别。实验结果证明了该原型系统的有效性。
Computer vision technology has been widely used for blind assistance, such as navigation and wayfinding. However, few camera-based systems are developed for helping blind or visually-impaired people to find daily necessities. In this paper, we propose a prototype system of blind-assistant object finding by camera-based network and matching-based recognition. We collect a dataset of daily necessities and apply Speeded-Up Robust Features (SURF) and Scale Invariant Feature Transform (SIFT) feature descriptors to perform object recognition. Experimental results demonstrate the effectiveness of our prototype system.