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.

中文翻译：

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基于三角形小平面逼近的局部自适应图像对齐。

准确高效的图像对准是当今全景拼接研究的核心问题。提出了一种基于三角形小平面逼近的局部自适应图像对齐方法，该方法可以直接处理相机坐标中的匹配数据，因此优于相机的成像模型。提出了一种更鲁棒的平面变换模型，并将其与两种加权策略结合起来扩展为局部自适应模型。通过将场景近似为相邻三角形小平面的组合，引入了平面和球形三角剖分策略，分别更有效地对齐法线和鱼眼图像。通过比较实验，从定性和定量两个方面验证了所提方法的有效性。