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小物体3维重建中影像与几何模型的配准

DOI: 10.11834/jig.20140410

Keywords: 3维重建,纹理,几何模型,配准,互信息,非线性优化

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Abstract:

目的近景摄影测量中的目标几何形状复杂,且拍摄影像的角度变化大,给影像与几何模型的配准带来了困难。传统单幅影像与几何模型配准的做法,由于缺乏自动粗配准的方法,效率相对较低。将多视影像首先统一坐标系的做法,在近景目标的复杂背景下也难以实现。方法为此,将近景目标置于平面标定板上,利用相机标定的方法同时解算出影像的内外方位元素,实现多视影像坐标系的统一。然后人工选取3组以上同名点,做多视影像与几何模型的绝对定向,得到初始配准参数。最后使用多视影像与几何模型漫反射渲染图之间的归一化互信息作为相似性测度,用Powell非线性优化方法得到配准参数的精确值。结果实验结果表明,使用标定板可以稳定地获取多视影像的内外方位元素,用绝对定向得到的配准参数进行影像和几何模型的交替显示仍然可以看到明显的裂缝,在经过互信息优化后裂缝现象得到明显改善。结论多视影像与几何模型配准相比传统单幅影像与几何模型配准,人工选取同名点的工作量大大减少,由于人工选点存在误差,影响绝对定向的精度,使用归一化互信息作为测度进行非线性优化,可以获得更高的精度。

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