Abstract: 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.

Abstract: 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.