Image acquisition processing method and image acquisition processing apparatus

Abstract

The invention discloses an image acquisition processing method and an image acquisition processing apparatus. The image acquisition processing apparatus comprises: a device and a processing unit, wherein the device is provided with a visible light camera and an infrared light camera; an optical axis of the visible light camera is perpendicular to the front view plane of the device; the optical axis of the infrared light camera is parallel to or intersects with a vertical axis of the front view plane of the device; the processing unit carries out image processing according to the image acquisition processing method, wherein the image acquisition processing method obtains a fusion area according to comparison of a fusion region initial model and visible light image resolution related parameters, so as to analyze a visible light image in the fusion region range. According to the image acquisition processing method and the image acquisition processing device, the fusion region is obtained by comparing the fusion region initial model with the visible light image resolution related parameters, the use is convenient, and the image acquisition processing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to an image acquisition and processing method and an image acquisition and processing device. Background technique [0002] At present, there are many infrared temperature measurement and face detection and recognition devices. These temperature measurement and face detection and recognition devices are fixed installation devices, and the infrared camera module is often integrated with the visible light camera module. The relative position of the two camera modules and the relative angle is fixed, such as adopting a dual-light (infrared light and visible light or white light) module design. Because of the dual-light module design, the central optical axes of the two camera modules are fixed in parallel and do not change. The center of the two camera modules The position in the Z-axis direction is the same, the vertical (Y-axis direction) height is the same and ...

AI Technical Summary

Problems solved by technology

[0004] These characteristics provide favorable conditions for the data fusion of two different camera images, but in many product designs and various practical solutions, the two modules of the infrared camera and the visible light camera are not designed in the same position, resulting in the center of the two camera modules The optical axes are not parallel (there is an included angle), and the zero point coordinates of the XYZ three-axis positions of the other two camera modules are also different, which increases the difficulty of judging the fusion area

[0005] In wearable application scenarios, people of different heights often need to adjust the angle of the visible light camera or infrared light camera when wearing them in different scenarios, and every time the angle is adjusted, the area range needs to be re-modified, otherwise the terminal equipment will be wasted image detection computing resources, if the traditional method is adopted to allow users to manually set the range of the fusion area through the operating software, it will increase the user's technical requirements, take up the user's time, and increase the complexity of use, affecting the user experience and efficiency , low work efficiency

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