基于自适应三角形约束的可靠影像匹配方法  

A Reliable Image Matching Method Based on Self-adaptive Triangle Constraint

作　　者：朱庆[1] 吴波[1] 赵杰[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,武汉430079

出　　处：《计算机学报》2005年第10期1734-1739,共6页Chinese Journal of Computers

基　　金：国家"九七三"重点基础研究发展规划项目基金(2002CB312101);湖北省青年杰出人才基金(2004ABB018)资助.~~

摘　　要：针对数字摄影测量和计算机视觉中贫乏纹理影像自动匹配的可靠性问题,提出了一种基于良好匹配点三角形局部连续性约束下的影像匹配方法.该方法利用已知良好匹配点形成Delaunay三角网,在每个三角形内提取特征点进行匹配传播.由于新匹配点的实时插入,Delaunay三角网被动态细分使得局部几何约束区域的大小自动适应影像纹理特征的变化.选取实际立体像对进行实验,结果证明大大消减了错误匹配,提高了特征点匹配结果的可靠性和精度.The determination of conjugate points in a digital image pair, referred to as ＇image matching＇ , is one of the critical factors limiting the complete automation of photogrammetry as well as the computer vision. Traditional matching methods continue to encounter obstacles in areas of forestation, settlements, water, and in regions with poor texture. However, during the relative orientation and automatic aerial triangulation, a series of well-defined points with good texture and proper distribution has, in fact, been produced. This study aims to utilize the well-defined points information as prior knowledge to improve the image matching. Since the terrain surface is either continuous as a smooth surface, or discontinuous as an irregular or rough surface. We observe that most of the well-defined points are found on the edge of irregular areas. Thus, a new image matching method is proposed： （1） to triangulate the well-defined points based on the Delaunay triangle criterion and then to consider each triangle as a local continuous area, which is then used as a geometric constraint for image matching. （2） to integrate the triangle constraint with the conventional epipolar geometric constraint, and to process the matching propagation which is controlled by ＇the best possible, the first matching＇ strategy. （3） The local continuity constraint is enforced by updating the constraint triangulation adapt to the local texture feature. Intensive experimental results prove that the reliability and the final accuracy of image matching are distinctively improved, compared to the current image matching method of digital photogrammetric workstation.

关 键 词：数字摄影测量 计算机视觉 影像匹配 三角形约束 DELAUNAY三角网 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]