Texture image color correction method, medium, terminal and device

Abstract

The invention discloses a texture image color correction method, medium, terminal and device, and the method comprises the following steps: employing a target light source to irradiate a reference plane, collecting a test texture image of the reference plane, and calibrating the brightness of the target light source; irradiating the to-be-measured object by adopting the target light source after brightness calibration, collecting a target texture image of the to-be-measured object, and generating a reflection coefficient of the to-be-measured object; and correcting the brightness of the to-be-measured object in the target texture image according to the reflection coefficient of the to-be-measured object. According to the invention, the light intensity distribution of the light source can be calibrated without complex equipment; color correction is carried out on the collected texture image by combining information such as depth and normal of the object; the brightness of the same material area on the object is ensured to be consistent in the plurality of texture images with different acquisition distances and different acquisition angles, so that the overall brightness of the texture map is ensured to be uniform, the color is ensured not to be distorted, and the final texture mapping effect is enabled to be more natural and vivid.

Description

【Technical field】 [0001] The invention relates to the field of image acquisition, in particular to a color correction method, medium, terminal and device for texture images. 【Background technique】 [0002] In recent years, the demand for 3D visualization has become higher and higher, and the progress of virtual scene technology is also very rapid. In the process of 3D visualization technology, the application of texture mapping using texture images and 3D models is also very common. Usually, in order to obtain more realistic texture information, the scanner scans the model multiple times during 3D scanning measurement, which will generate multiple texture images from different viewpoints. Shooting from different angles will cause inconsistent and discontinuous lighting and color effects. At the same time, due to the shape of the object itself, the external environment and other reasons, the different images obtained by the camera may not be in the same lighting model. Howe...

AI Technical Summary

Problems solved by technology

However, the existing dodging algorithm has the following problems: (1) the correction effect is not good for images with poor shooting quality (too bright, too dark); (2) for multiple images of the same object shot from multiple perspectives, the correction The brightness of the same position between different images cannot be guaranteed to be consistent

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