Four-dimensional polynomial model for depth estimation based on two-picture matching

作者: Pingshan Li , Earl Wong , Kensuke Miyagi

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摘要: Camera depth estimation is performed in response to picture matching based on blur difference computed between images captured at different focal positions. A model stored the camera characterization of with a series curves which varies depending length, aperture, subject distance, and lens focus position. four-dimensional polynomial created fit for use estimating distance. During operation, are Motion compensation applied determined. Blur utilized estimate Subject distance estimates can be output or within an auto process provide accurate adjustments.

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