Calibration method and system of multi-spectrum collecting system

Abstract

The invention provides a calibration method of a multi-spectrum collecting system. The calibration method includes the following steps: collecting scene information under a standard light source through the double-path multi-spectrum collecting system to obtain two paths of multi-spectrum images, carrying out spectrum calibration on spectrums at sampled points according to spectrum information of the sampled points of one path of multi-spectrum images, the spectrum characteristic of the standard light source and the light path characteristic of the multi-spectrum collecting system, providing two scanning videos in different scanning directions, carrying out the demonstration through a calibration video demonstration device, respectively shooting the two scanning videos during the demonstration, and obtaining matching points of the sampled points according to the two shot scanning videos to complete space position calibration of the sampled points. According to the calibration method, spectrum calibration can be accurately carried out on the double-path multi-spectrum collecting system, alignment matching can be accurately carried out on the space positions of the two paths of collected images, and therefore the double-path multi-spectrum collecting system can effectively collect spectrum images. The invention further provides a calibration system of the multi-spectrum collecting system.

Description

Technical field [0001] The present invention relates to the technical field of spectrum calculation and computational imaging, in particular to a calibration method and system of a multi-spectrum acquisition system. Background technique [0002] With the rapid development of sensor imaging technology, computer graphics, computer vision, and digital media processing technology, a new discipline with computational acquisition and reconstruction technology as its core-computational photography has gradually formed. Computational photography combines computer graphics, computer vision and other computer technologies, modern sensors, and modern optics to achieve the purpose of improving and enhancing the capabilities of digital photography and obtaining images and videos that cannot be obtained by traditional photography technology. In recent years, computational photography, as a rapidly developing emerging interdisciplinary, has become an international frontier research hotspot. [0...

AI Technical Summary

Problems solved by technology

Although the above-mentioned works all adopt the method of dual-channel acquisition, which can better collect and preliminarily calibrate the multi-spectral video information, but it still lacks an accurate spatial geometry calibration and spectral calibration method.

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