Asynchronous Stroboscopic Structured Lighting Image Processing Using Low-Cost Cameras

F. H. Borsato, C. Morimoto
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引用次数: 1

Abstract

Structured lighting (SL) image processing relies on the generation of known illumination patterns synchronized with the camera frame rate and is commonly implemented using syncing capable cameras. In general, such cameras employ global shutters, that exposes the whole frame at once. However, most modern digital cameras use rolling shutters, which expose each line at different intervals, impairing most structured lighting applications. In this paper we introduce an asynchronous SL technique that can be used by any rolling shutter digital camera. While the use of stroboscopic illumination partially solves for the line exposure shift, the phase difference between the camera and lighting clocks results in stripe artifacts that move vertically in the video stream. These stripes are detected and tracked using a Kalman filter. Two asynchronous stroboscopic SL methods are proposed. The first method, image differencing, minimizes the stripe artifacts. The second method, image compositing, completely removes the artifacts. We demonstrate the use of the asynchronous differential lighting technique in a pupil detector using a low-cost high-speed camera with no synchronization means, with the lighting running independently at a higher, unknown frequency to the application.
使用低成本相机的异步频闪结构照明图像处理
结构化照明(SL)图像处理依赖于生成与相机帧速率同步的已知照明模式,通常使用具有同步功能的相机来实现。一般来说,这种相机采用全局快门,一次曝光整个画面。然而,大多数现代数码相机使用卷帘式快门,以不同的间隔曝光每条线,损害了大多数结构化照明的应用。本文介绍了一种可用于任意卷帘式数码相机的异步SL技术。虽然频闪照明的使用部分解决了线曝光偏移,但相机和照明时钟之间的相位差导致条纹伪影在视频流中垂直移动。这些条纹是用卡尔曼滤波器检测和跟踪的。提出了两种异步频闪SL方法。第一种方法,图像差分,最大限度地减少条纹伪影。第二种方法,图像合成,完全消除了伪影。我们演示了在瞳孔检测器中使用异步差分照明技术,该技术使用低成本高速相机,没有同步手段,照明以更高的未知频率独立运行。
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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