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Barcode Imaging Using a Light Field Camera

机译:使用轻场相机的条形码成像

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We present a method to capture sharp barcode images, using a microlens-based light field camera. Relative to standard barcode readers, which typically use fixed-focus cameras in order to reduce mechanical complexity and shutter lag, employing a light field camera significantly increases the scanner's depth of field. However, the increased computational complexity that comes with software-based focusing is a major limitation on these approaches. Whereas traditional light field rendering involves time-consuming steps intended to produce a focus stack in which all objects appear sharply-focused, a scanner only needs to produce an image of the barcode region that falls within the decoder's inherent robustness to defocus. With this in mind, we speed up image processing by segmenting the barcode region before refocus is applied. We then estimate the barcode's depth directly from the raw sensor image, using a lookup table characterizing a relationship between depth and the code's spatial frequency. Real image experiments with the Lytro camera illustrate that our system can produce a decodable image with a fraction of the computational complexity.
机译:我们介绍了一种使用基于微透镜的光场相机捕获尖锐条码图像的方法。相对于标准条形码读取器,通常使用固定聚焦摄像机以减少机械复杂性和快门滞后,采用光场摄像机显着增加了扫描仪的景深。然而,基于软件的聚焦具有增加的计算复杂性是对这些方法的主要限制。而传统的光场呈现包含耗时的步骤旨在产生的所有对象出现清晰聚焦,扫描仪只需要产生解码器固有的稳健性离焦落入条形码区域的图像的焦点堆栈。考虑到这一点,我们通过在施加重焦前分割条形码区域来加速图像处理。然后,我们使用查找表来估计条形码的深度,使用查找表,其特征在于深度和代码的空间频率之间的关系。利用Lytro相机的真实图像实验说明我们的系统可以产生可解码图像,其分数是计算复杂性。

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