IBISC lab. EA 4526, University of Evry-Val-d'Essonne-Paris Saclay, 91000 Evry, France.
INSA Centre Val de Loire, PRISME lab. EA 4229, University of Orleans, 18000 Bourges, France.
Sensors (Basel). 2019 Nov 14;19(22):4958. doi: 10.3390/s19224958.
Photometric moments are global descriptors of an image that can be used to recover motion information. This paper uses spherical photometric moments for a closed form estimation of 3D rotations from images. Since the used descriptors are global and not of the geometrical kind, they allow to avoid image processing as features extraction, matching, and tracking. The proposed scheme based on spherical projection can be used for the different vision sensors obeying the central unified model: conventional, fisheye, and catadioptric. Experimental results using both synthetic data and real images in different scenarios are provided to show the efficiency of the proposed method.
光度矩是图像的全局描述符，可用于恢复运动信息。本文使用球面光度矩从图像中进行 3D 旋转的闭式估计。由于所使用的描述符是全局的，而不是几何的，因此它们允许避免图像处理，如特征提取、匹配和跟踪。基于球面投影的提出方案可用于不同的视觉传感器，这些传感器都遵循中央统一模型：常规、鱼眼和折反射。使用不同场景中的合成数据和真实图像提供了实验结果，以显示所提出方法的效率。
