目的 针对目前手持式3维扫描设备生成的模型纹理分辨率不够，且部分区域存在高光、阴影及明暗变化等问题，提出一种基于多幅实拍照片的纹理重建方法。方法 首先使用基于特征匹配的方法将照片图像与几何模型进行配准；其次根据重建纹理大小，采用特殊编码方式的位置纹理建立照片像素到纹理像素直接且精确的对应关系；然后根据多幅使用闪光灯作为光源拍摄的照片，通过位置纹理建立联立方程，求解漫反射分量；最后采用改进的基于混合权重的融合方法对求解的漫反射分量进行纹理融合。结果 使用本文方法对3个实验模型进行本征纹理重建，与3维扫描设备生成纹理和直接用照片生成纹理相比，该方法操作简单、使用方便，可获得高度清晰的，不含高光和明暗效果的本征纹理图像。结论 实验结果表明，重建纹理质量在分辨率、色彩还原性及一致性方面明显优于原有纹理，且该方法具有很高的精确性和鲁棒性，可满足高质量的纹理重建需求。

Objective Existing 3D handheld scanners are usually integrated with image sensors that can directly generate texture images. However, the resolution of texture images is usually low, and problems, such as highlights, shadows, and shading, exist. This paper proposed a texture reconstruction method based on multiple photos.Methods First, the image and geometric model are registered via feature-matching method. Second, the direct and accurate correspondence between image pixels and texture pixels is established by adopting a special encoding location texture. Then, the diffuse component is solved with simultaneous equations, which are established by location texture. Finally, we obtain intrinsic textures via the improved fusion method on the basis of hybrid weight.Results The proposed method was used to reconstruct the intrinsic texture of the three experimental models. The method was compared with a 3D scanning device to generate texture. Photos were directly utilized to generate texture. Results showed that the method is simple to operate, easy to use, and can produce clear and intrinsic textures without highlights and shadings.Conclusion Experimental results showed that the reconstruction of texture quality in resolution, color reduction, and consistency is better than that of the original texture. The method has high accuracy and robustness and can meet the demand of high-quality texture reconstruction.