Flexible 3D models from uncalibrated cameras
Flexible 3D models from uncalibrated cameras
复制标题
来自未校准相机的灵活 3D 模型
DOI：
10.1016/0262-8856(96)01099-2
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发表时间：
1995
期刊：
影响因子：
8.8
通讯作者：
A. Lanitis
中科院分区：
文献类型：
--
作者：
Tim Cootes;E. D. Mauro;C. Taylor;A. Lanitis
We describe how to build statistically-based flexible models of the 3D structure of variable objects, given a training set of uncalibrated images. We assume that for each example object there are two labelled images taken from different viewpoints. From each image pair a 3D structure can be reconstructed, up to either an affine or projective transformation, depending on which camera model is used. The reconstructions are aligned by choosing the transformations which minimise the distances between matched points across the training set. A statistical analysis results in an estimate of the mean structure of the training examples and a compact parameterised model of the variability in shape across the training set. Experiments have been performed using pinhole and affine camera models. Results are presented for both synthetic data and real images.
