Method for demarcating small-scale vision measuring video camera based on composite planar target drone

Abstract

The invention belongs to the field of measurement technology, which relates to a video camera calibration method of small size visual measurement based on a composite plane target. The composite plane target designed by the invention comprises a black square block and a white circular speckle, the center of the white circular speckle is coincident with the center of the black square block, and the semidiameter of the white circular speckle is less than that of the black square block; the composite plane target generates no less than 12 high precision gauge points having projective invariant by utilizing the characteristic that a point and a tangent point of a circle have the projective invariant; and a nonlinear optimization method is adopted to gauge the video camera by utilizing generated world coordinate and image coordinate of the 12 gauge points. The target has simple structure and low cost, and can be suitable for gauge to the video camera of various size visual measurements.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows for precise positioning on large surfaces by creating tiny targets that have multiple accurately located reference positions. These targets require no expensive equipment or complicated processes compared to traditional methods like ruler marks used during image analysis. Additionally, they allow for accurate measurements over various distance ranges without requiring complex calculations involving geometry data from other sources such as images captured through cameras. Overall this innovation makes it possible to improve precision and reduce costs while still providing effective results across diverse fields of vision testing devices.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the performance (accuracy) of cameras used for visually measuring systems such as stereoscopic displays. Specifically, current methods involve generating many low-quality calibrations from various object units onto specific surfaces, resulting in decreased efficiency due to overlapping areas where errors occur when combining them into larger spaces. Additionally, existing methods often result in insufficiently accurate results if the calibratory points cannot accurately represent realistic scene depths.

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