Abstract: To overcome the influence from both the light change and blurring in actual shooting for the three-dimensional reconstruction based on the stereo vision technique, the new illumination-robust combined invariant moments were put forward. Meanwhile, for the purpose of improving the performance of the image feature matching which solely depended on similarity, the dual constraints of the slope and the distance were involved into the similarity measurement, and then the matching process was carried out with their combined actions. Finally the three-dimensional reconstruction of the whole belly contour was built automatically. The parameters of the belly shape obtained by the proposed method can achieve the same accuracy as the 3D scanner and the measurement error with the actual value was less than 0.5cm. The experimental results show that the hardware of this system is simple, low cost as well as fast and reliable for information collection. The system is suitable for apparel design.

Key words: stereo vision, combined moment invariant, blur and affine moment invariant, image matching, belly model reconstruction

摘要： 针对采用立体视觉技术进行三维人体重建时，在实际拍摄采集图像过程中受光照变化和模糊因素干扰的现象，提出光照鲁棒的组合模糊仿射不变矩，克服以上两种因素的影响；同时为了改进单一依靠灰度相似性度量的匹配效果，引入了斜率和距离双重几何约束，由三者结合共同引导完成匹配，自动重建人体腹部体型。实验所获得的虚拟三维人体腹部尺寸值可以达到与三维扫描仪相同的精度，与实际测量值的误差小于0.5cm。实验结果表明：该系统硬件设备简单，成本低，能快速可靠地采集腹部信息，符合服装设计等领域的精度要求。

关键词: 立体视觉, 组合不变矩, 模糊仿射不变矩, 图像匹配, 腹部模型重建