In this article, we describe several enhancements of a three-phase correlation image sensor (3PCIS) toward its uses for a direct algebraic method of optical flow detection, i.e., determining velocity field of image patterns for detecting, tracking, and three-dimensional recovery of objects in a scene. A recent theoretical study has provided an exact closed-form solution of the velocity from temporal Fourier integral measurements of a time-varying intensity distribution. An accurate analog multiplication and integration of incident light and reference signals required for this type of measurements is the inherent advantage of a 3PCIS. We fabricate and compare several types of correlation detection block. As continuous-value inputs of the algebraic solution, compensation operations of systematic sources of error are so designed to realize a near shot-noise-limited performance. For random telegraph noise and interference reduction, we show that a p-epi channel, deep p-well structure is the best 3P multiplier. Several experimental results of optical flow detection including an accuracy evaluation and the dense motion capture of a traffic scene are given.

中文翻译：

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用于光流代数解的相关图像传感器

在本文中，我们描述了三相相关图像传感器（3PCIS）在其用于直接代数光流检测方法中的用途的一些增强，即确定用于检测，跟踪和三维恢复的图像图案的速度场场景中的对象。最近的理论研究从时变强度分布的时间傅立叶积分测量提供了速度的精确封闭形式解。3PCIS的固有优势是对此类测量所需的入射光和参考信号进行精确的模拟乘法和积分。我们制造并比较了几种类型的相关检测块。作为代数解的连续值输入，系统误差源的补偿操作旨在实现接近散粒噪声的性能。对于随机电报噪声和减少干扰，我们证明p-epi通道，深p阱结构是最佳3P乘数。给出了几种光流检测的实验结果，包括准确性评估和交通场景的密集运动捕获。