对复杂自由曲面的纹理重建方法

提出一种基于马尔科夫优化策略复杂自由曲面的纹理重建方法,该方法利用实验室研制的三维数字化设备对目标物体的深度数据和纹理数据进行采集,将局部采集的深度像数据匹配到全局坐标系下,建立物体的几何模型;然后通过坐标变换,把采集的纹理照片映射到重建的几何模型表面,并进行曲面纹理融合处理,实现自由曲面的纹理重建.该方法对物体的形貌没要求,能实现结构复杂的自由曲面的纹理重建,得到高保真质量的真实感模型.采用该算法对几种不同的实物进行数据采集和真实感三维重建,实验结果验证了算法的可靠性和有效性.

Texture Reconstruction Method for Complex Free-form Shapes

A texture reconstruction method based on Markov random fields optimization was proposed to reconstruct the complex free-form shapes.The method used a three-dimensional digital device developed by laboratory to capture the range data and the texture images, and registered the local capture range data into global coordination system to establish the surface of the object.To build a realistic textured model, the captured texture images were mapped to the reconstructed surface by coordinate transformation, and a texture fusion processing was followed.The proposed method does not impose any constraints on the topology of the surface, and a realistic textured model of the free-form surface can be achieved.The data collection and realistic three-dimensional reconstruction of material object were experimented by the proposed method, the results show the reliability and effectiveness of the proposed method.