Object recognition algorithm for mobile devices

R. Kozik, A. Marchewka
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引用次数: 1

Abstract

Abstract In this paper an object recognition algorithm for mobile devices is presented. The algorithm is based on a hierarchical approach for visual information coding proposed by Riesenhuber and Poggio [1] and later extended by Serre et al. [2]. The proposed method adapts an efficient algorithm to extract the information about local gradients. This allows the algorithm to approximate the behaviour of simple cells layer of Riesenhuber and Poggio model. Moreover, it is also demonstrated that the proposed algorithm can be successfully deployed on a low-cost Android smartphone.
移动设备对象识别算法
本文提出了一种移动设备目标识别算法。该算法基于Riesenhuber和Poggio[1]提出的视觉信息编码分层方法,后来由Serre等人扩展。该方法采用了一种高效的局部梯度信息提取算法。这使得算法可以近似于Riesenhuber和Poggio模型中简单细胞层的行为。此外,还证明了该算法可以成功部署在低成本的Android智能手机上。
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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