3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters
3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters
复制标题
通过估计摄像机运动参数，根据多个图像序列对室外场景进行 3D 建模
DOI：
10.1007/3-540-45103-x_95
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
N. Yokoya
中科院分区：
文献类型：
--
作者：
Tomokazu Sato;M. Kanbara;N. Yokoya
室外场景的三维模型在目标识别、导航、场景模拟、混合现实等领域有着广泛的应用。这样的模型往往是手工制作的，成本很高，因此自动三维重建得到了广泛的研究。在相关工作中，使用立体方法生成密集的3-D模型。然而，这种方法不能将数百张图像一起用于大型建筑和城市环境的密集深度估计，因为很难准确校准大量相机。提出了一种利用多幅图像序列进行密集三维重建的新方法。我们的方法首先估计每个图像序列的外部摄像机参数，然后使用扩展的多基线立体和体素投票技术重建场景的密集3-D模型。
Three-dimensional (3-D) models of outdoor scenes can be widely used in a number of fields such as object recognition, navigation, scenic simulation, and mixed reality. Such models are often made manually with high costs, so that automatic 3-D reconstruction has been widely investigated. In related works, a dense 3-D model is generated by using a stereo method. However, such approaches cannot use several hundred images together for dense depth estimation of large constructs and urban environments because it is difficult to accurately calibrate a large number of cameras. This paper proposes a novel dense 3-D reconstruction method that uses multiple image sequences. First, our method estimates extrinsic camera parameters of each image sequence, and then reconstructs a dense 3-D model of a scene using an extended multibaseline stereo and voxel voting techniques.
影响因子：
19.5
作者：
TOMASI, C;KANADE, T
通讯作者：
KANADE, T