Detecting Vanishing Points by Segment Clustering on the Projective Plane for Single-view Photogrammetry
| Type of publication: | Inproceedings |
| Citation: | andalo-taubin-goldenstein-wifs10 |
| Booktitle: | Workshop on Information Forensics and Security |
| Year: | 2010 |
| Location: | Seattle, WA |
| Abstract: | In this paper, we describe how an effective vanishing point detector can be applied to photogrammetry when only a single view of an architectural environment is available. Our method performs automatic segment clustering in projective space - a direct transformation from the image space - instead of the traditional bounded accumulator space. Experiments on real images show the effectiveness of the proposed detector in finding all vanishing points, as well as its application in a photogrammetry algorithm, by recovering the vertical direction of the scene and the vanishing line for the ground plane. |
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| Added by: | [ADM] |
| Total mark: | 0 |
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