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research:image-based_3d_reconstruction [2012/01/20 11:57] 127.0.0.1 external edit |
research:image-based_3d_reconstruction [2014/02/23 14:00] oswaldm |
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| For a human, it is usually an easy task to get an idea of the 3D structure shown in an image. Due to the loss of one dimension in the projection process, the estimation of the true 3D geometry is difficult and a so called ill-posed problem, because usually infinitely many different 3D surfaces may produce the same set of images. | For a human, it is usually an easy task to get an idea of the 3D structure shown in an image. Due to the loss of one dimension in the projection process, the estimation of the true 3D geometry is difficult and a so called ill-posed problem, because usually infinitely many different 3D surfaces may produce the same set of images. | ||
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| 3D reconstruction of barley from 25 input images. | 3D reconstruction of barley from 25 input images. | ||
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| - | More results can be found on the [[members: | + | ===== Spatio-Temporal 3D Reconstruction from multiple videos ===== |
| + | Considering a dynamic scene that changes over time, 3D reconstruction can be applied to every time step independently. However, one can achieve temporally more consistent results by using the information from several time frames together, thus computing a spatio-temporal hyper-surface in 4D space. | ||
| + | The following video shows results of our latest publication on 4D reconstruction. | ||
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