Local-Adaptive Image Alignment Based on Triangular Facet Approximation
Local-Adaptive Image Alignment Based on Triangular Facet Approximation
复制标题
基于三角面近似的局部自适应图像对齐
DOI：
10.1109/tip.2019.2949424
复制
发表时间：
2020-01-01
影响因子：
10.6
通讯作者：
Yan, Ye
中科院分区：
文献类型：
--
作者：
Li, Jing;Deng, Baosong;Yan, Ye
精确高效的图像对齐是当前全景拼接研究的核心问题。本文提出了一种基于三角面片近似的局部自适应图像配准方法，该方法直接在摄像机坐标系下对匹配数据进行处理，从而提高了对摄像机成像模型的上级性能。提出了一种更鲁棒的平面变换模型，并通过结合两种加权策略将其扩展为局部自适应模型。通过将场景近似为相邻三角面片的组合，分别引入平面和球面三角剖分策略来更有效地对齐法线图像和鱼眼图像。通过对几个具有挑战性的案例进行定性和定量的对比实验，验证了该方法的有效性。
Accurate and efficient image alignment is the core problem in the research of panoramic stitching nowadays. This paper proposes a local-adaptive image alignment method based on triangular facet approximation, which directly manipulates the matching data in the camera coordinates, and therefore rises superior to the imaging model of cameras. A more robust planar transformation model is proposed and extended to be local-adaptive via combining it with two weighting strategies. By approximating the scene as a combination of adjacent triangular facets, the planar and spherical triangulation strategies are introduced to more efficiently align normal and fisheye images respectively. The efficiency of the proposed method are verified through the comparative experiments on several challenging cases both qualitatively and quantitatively.