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Photoconsistent Relative Pose Estimationbetween a PMD 2D3D-Camera and Multiple Intensity Cameras

机译:PMD 2D3D相机和多台强度相机之间的光一致性相对姿态估计

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Active range cameras based on the Photonic Mixer Device (PMD) allow to capture low-resolution depth images of dynamic scenes at high frame rates. To use such devices together with high resolution optical cameras (e.g. in media production) the relative pose of the cameras with respect to each other has to be determined. This task becomes even more challenging, if the camera is to be moved and the scene is highly dynamic. We will present an efficient algorithm for the estimation of the relative pose between a single 2D3D-camera with respect to several optical cameras. The camera geometry together with an intensity consistency criterion will be used to derive a suitable cost function, which will be optimized using gradient descend. It will be shown, how the gradient of the cost function can be efficiently computed from the gradient images of the high resolution optical cameras. We will show, that the proposed method allows to track and to refine the pose of a moving 2D3D-camera for fully dynamic scenes.
机译:基于光子混合器设备(PMD)的主动范围摄像机可在高帧频下捕获动态场景的低分辨率深度图像。为了与高分辨率光学相机一起使用这样的设备(例如在媒体制作中),必须确定相机相对于彼此的相对姿势。如果要移动相机并且场景高度动态,则此任务将变得更具挑战性。我们将提出一种有效的算法,用于估计单个2D3D相机相对于多个光学相机之间的相对姿态。相机的几何形状以及强度一致性标准将用于导出合适的成本函数,该函数将使用梯度下降进行优化。将示出如何从高分辨率光学相机的梯度图像有效地计算成本函数的梯度。我们将证明,所提出的方法可以跟踪和完善移动2D3D摄像机的姿势以实现全动态场景。

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