论文标题
给定重力的全景缝线的最小解决方案先验
Minimal Solutions for Panoramic Stitching Given Gravity Prior
论文作者
论文摘要
捕获全景时，人们倾向于将相机与垂直轴（即重力方向）对齐。此外，现代设备（例如智能手机和平板电脑）配备了IMU（惯性测量单元），可以准确测量重力矢量。使用此之前，可以将相机的Y轴对准或假定已对齐，从而将其相对取向（自由度）降低。利用这一假设，我们提出了新的最小解决方案，以对带有一致的光学中心拍摄的相机拍摄的图像（即进行纯旋转）进行全景图像缝合。我们考虑四种实用的摄像头配置，假设有或没有径向失真的情况未知固定或变化的焦距。在合成场景和超过500k的真实图像对中，从Sun360数据集以及使用两台配备IMU的智能手机捕获的场景中对求解器进行了测试。表明，在准确性和处理时间方面，他们的表现都优于最先进的。
When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, such as smartphones and tablets, are equipped with an IMU (Inertial Measurement Unit) that can measure the gravity vector accurately. Using this prior, the y-axes of the cameras can be aligned or assumed to be already aligned, reducing their relative orientation to 1-DOF (degree of freedom). Exploiting this assumption, we propose new minimal solutions to panoramic image stitching of images taken by cameras with coinciding optical centers, i.e., undergoing pure rotation. We consider four practical camera configurations, assuming unknown fixed or varying focal length with or without radial distortion. The solvers are tested both on synthetic scenes and on more than 500k real image pairs from the Sun360 dataset and from scenes captured by us using two smartphones equipped with IMUs. It is shown, that they outperform the state-of-the-art both in terms of accuracy and processing time.
