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Analysis of Disparity Information for Depth Extraction Using CMOS Image Sensor with Offset Pixel Aperture Technique

机译:使用偏移像素孔径技术的CMOS图像传感器进行深度提取的视差信息分析

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摘要

A complementary metal oxide semiconductor (CMOS) image sensor (CIS), using offset pixel aperture (OPA) technique, was designed and fabricated using the 0.11-µm CIS process. In conventional cameras, an aperture is located on the camera lens. However, in a CIS camera using OPA technique, apertures are integrated as left-offset pixel apertures (LOPAs) and right-offset pixel apertures (ROPAs). A color pattern is built, comprising LOPA, blue, red, green, and ROPA pixels. The disparity information can be acquired from the LOPA and ROPA channels. Both disparity information and two-dimensional (2D) color information can be simultaneously acquired from the LOPA, blue, red, green, and ROPA channels. A geometric model of the OPA technique is constructed to estimate the disparity of the image, and the measurement results are compared with the estimated results. Depth extraction is thus achieved by a single CIS using the OPA technique, which can be easily adapted to commercial CIS cameras.
机译:使用0.11 µm CIS工艺设计和制造了采用偏移像素孔径(OPA)技术的互补金属氧化物半导体(CMOS)图像传感器(CIS)。在常规照相机中,光圈位于照相机镜头上。但是,在使用OPA技术的CIS相机中,光圈被集成为左偏移像素光圈(LOPA)和右偏移像素光圈(ROPA)。建立一种颜色模式,包括LOPA,蓝色,红色,绿色和ROPA像素。可以从LOPA和ROPA通道获取视差信息。可以同时从LOPA,蓝色,红色,绿色和ROPA通道获取视差信息和二维(2D)颜色信息。构建OPA技术的几何模型以估计图像的视差,然后将测量结果与估计的结果进行比较。因此,可以使用OPA技术通过单个CIS进行深度提取,该技术可以轻松地应用于商用CIS相机。

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