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Performance Metrics for Passive Auto-Focus Search Algorithms in Digital and Smart-Phone Cameras

机译:数码和智能手机相机中被动式自动对焦搜索算法的性能指标

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摘要

Passive autofocus (AF) is a key component of many digital and high megapixel smart-phone camera systems. In order to make informed choices in the selection of a passive AF search algorithm, it is essential to utilize sound performance metrics. The performance metrics currently employed do not take into account all facets involved in passive AF systems. In this article, five performance metrics are proposed to be simultaneously evaluated in order to accurately reflect all aspects of a passive AF system including focusing speed, accuracy, power consumption, and user experience. Experimental results on a prototype digital camera platform for four representative AF search algorithms are presented to show how to carry out the evaluation of any passive AF search algorithm.
机译:被动自动对焦(AF)是许多数字和高百万像素智能手机摄像头系统的关键组件。为了在选择被动AF搜索算法时做出明智的选择,必须利用声音性能指标。当前采用的性能指标未考虑被动式自动对焦系统涉及的所有方面。在本文中,提出了五个性能指标同时进行评估,以准确反映被动式自动对焦系统的各个方面,包括对焦速度,准确性,功耗和用户体验。提出了在原型数码相机平台上针对四种代表性AF搜索算法的实验结果,以展示如何进行任何被动AF搜索算法的评估。

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  • 来源
    《Journal of Imaging Science and Technology》 |2011年第1期|p.010507.1-010507.12|共12页
  • 作者单位

    Texas Instruments, Incorporated, Dallas, Texas 75243, USA;

    Department of Electrical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, USA;

    Department of Electrical Engineering, The University of Texas at Dallas, Richardson, Texas 75080, USA;

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  • 正文语种 eng
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