相位矩不变量用于评价基于图像的三维重建结果  

Evaluation of Image-based 3D Reconstruction Using Phase Moment Invariants

作　　者：公明 葛娟[3] 曹伟国[1] 李华[1,2] 

机构地区：[1]中国科学院计算技术研究所计算机应用研究中心,北京100190 [2]中国科学院大学,北京100049 [3]国家测绘产品质量检验测试中心,北京100830

出　　处：《计算机辅助设计与图形学学报》2013年第9期1384-1391,共8页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家"八六三"高技术研究发展计划(2007AA01Z317);国家自然科学基金项目(60873164)

摘　　要：基于图像的三维重建的评价一般要在三维扫描仪获取的精确三维模型上进行,成本高、效率低,且不适用于大型的物体或者大规模的场景.针对该问题,提出一种基于图像相位信息不变性的评价方法.首先获取物体的三维重建模型在某视点下的二维投影图;然后对该投影图以及真实物体在相近视点下的图像进行边缘提取;再对2幅边缘图像计算文中提出的相位矩不变量,以构造特征向量;最后通过比较特征向量的距离来衡量重建结果的质量.实验结果表明了该方法对评价基于图像重建的三维面片模型的有效性和适用性.Existing methods to quantitatively evaluate the performance of image-based 3D reconstruction are generally based on ground-truth 3D models acquired by 3D scanner, with disadvantages of high cost, low efficiency, and inapplicability to large-scale objects or scenes. To solve this problem, propose an evaluation method based on the invariance of image＇s phase information. Firstly, get the 2D projection image of the 3D reconstructed model under certain viewpoint. Then, extract edges of this projection image as well as the image of realistic object under the similar viewpoint. Subsequently, compute the proposed phase moment invariants for the two edge images and construct feature vectors. Finally, assess the reconstructed result through comparing the distance between the two feature vectors. Experiments validate the effectiveness and applicability of this method for assessing 3D reconstructed surface model.

关 键 词：三维重建 评价方法 图像相位 矩不变量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]