通过估计移动摄像机的位置和姿态来识别场景

T. Adachi, K. Kondo, S. Kobashi, Y. Hata
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引用次数: 0

摘要

研究了二维图像对三维场景的重建和解释。本文提出了一种通过估计摄像机的自定位来识别包括建筑物在内的场景的方法。通过将输入图像与相机估计姿态/位置对应的投影地图相匹配来识别场景。利用图像序列对摄像机运动进行动态估计。在该方法中,通过在前一帧中使用估计的相机姿态/位置投影角来跟踪图像中建筑物的角。通过对估计的相机轨迹进行评估,并将输入图像与估计的相机参数生成的图像进行比较,验证了该方法的有效性。
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Identification of a Scene by Estimating the Position and Pose of a Moving Camera
The reconstruction and interpretation of 3D scene from 2D image have been studied. In this paper, we propose a method for the identification of the scene including the buildings by estimating the self-location of a camera. The scene is identified by matching the input image with the projected map corresponding to the estimated pose/position of a camera. The camera motion is dynamically estimated by using the image sequence. In this method, the corners of the building in the image are tracked by projecting the corners with the estimated camera pose/position in the previous frame. The validity of the proposed method is confirmed by evaluation of the estimated camera trajectory and the comparison of the input images with the image generated by estimated camera parameters.
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