Field of view alignment with multiple RGB-D cameras

Weining Hu, Chang-Hong Lin
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Abstract

We propose a method to generate a wider Field of View (FOV) using multiple RGB-D cameras. In the initialization step, we extract the matched feature points from the moving object in order to calculate the transformation matrix. Then, the depth data would be aligned using the transformation matrix in the world coordinate system. The wider FOV is generated after the perspective projection. The results show that two input depth images can be correctly combined into a wider depth image.
视野对准多个RGB-D相机
我们提出了一种使用多个RGB-D相机产生更宽视场(FOV)的方法。在初始化步骤中,我们从运动目标中提取匹配的特征点,从而计算变换矩阵。然后,利用世界坐标系中的变换矩阵对深度数据进行对齐。在透视投影后产生更宽的视场。结果表明,两个输入深度图像可以正确地组合成一个更宽的深度图像。
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