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Video manipulation of red, green, blue, distance (RGB-Z) data including segmentation, up-sampling, and background substitution techniques

机译:红色,绿色,蓝色,距离(RGB-Z)数据的视频处理,包括分段,上采样和背景替换技术

摘要

RGB-Z imaging systems acquire RGB data typically with a high X-Y resolution RGB pixel array, and acquire Z-depth data with an array of physically larger Z pixels having additive signal properties. In each acquired frame, RGB pixels are mapped to a corresponding Z pixel. Z image resolution is enhanced by identifying Z discontinuities and identifying corresponding RGB pixels where the Z discontinuities occur. Thus segmented data enables RGB background substitution, which preferably blends foreground pixel color and substitute background color. The segmented data also enables up-sampling in which a higher XY resolution Z image with accurate Z values is obtained. Up-sampling uses an equation set enabling assignment of accurate Z values to RGB pixels. Fixed acquisition frame rates are enabled by carefully culling bad Z data. Segmenting and up-sampling enhanced video effects and enable low cost, low Z resolution arrays to function comparably to higher quality, higher resolution Z arrays.
机译:RGB-Z成像系统通常使用高X-Y分辨率的RGB像素阵列获取RGB数据,并使用具有相加信号属性的物理上较大的Z像素阵列获取Z深度数据。在每个获取的帧中,RGB像素映射到相应的Z像素。通过标识Z不连续性并标识发生Z不连续性的相应RGB像素,可以增强Z图像分辨率。因此,分段数据可以实现RGB背景替换,该背景替换最好将前景像素颜色和替换背景颜色混合。分割的数据还可以实现上采样,其中可以获得具有准确Z值的更高XY分辨率Z图像。上采样使用公式集,可将准确的Z值分配给RGB像素。通过仔细剔除不良的Z数据,可以启用固定的采集帧速率。对增强的视频效果进行分段和上采样,使低成本,低Z分辨率的阵列可以与更高质量,更高分辨率的Z阵列进行比较。

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