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A filter-switching auto-focus framework for consumer camera imaging systems

机译:用于消费类相机成像系统的滤光片切换自动对焦框架

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摘要

Auto-focus (AF) has become a standard feature in consumer level cameras. The most common AF approach analyzes a captured image with a digital band-pass filter applied to a focus region producing a focus value, which is then used by a search algorithm to locate the peak value position. The existing literature does not adequately address how to set the AF parameters such as the filter pass-band and the step-size magnitude. In this paper, a framework is presented to derive the AF parameters automatically based on camera specifications. Also, a new AF search algorithm named Filter-Switching Search is introduced which takes advantage of the derived AF parameters. The effectiveness is demonstrated via real-time implementation on three different camera platforms. Results indicate that the developed solution is portable across different platforms and outperforms the existing approaches without the need for extensive parameter tuning.
机译:自动对焦(AF)已成为消费级相机的标准功能。最常见的AF方法是使用数字带通滤波器分析捕获的图像,该数字带通滤波器应用于产生焦点值的焦点区域,然后由搜索算法用来定位峰值位置。现有文献不足以解决如何设置诸如滤波器通带和步长大小的AF参数。在本文中,提出了一个框架,可根据相机规格自动导出自动对焦参数。此外,引入了一种新的AF搜索算法,称为“滤波切换搜索”,该算法利用了派生的AF参数。通过在三个不同相机平台上的实时实施来证明其有效性。结果表明,开发的解决方案可在不同平台上移植,并且性能优于现有方法,而无需进行广泛的参数调整。

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