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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wildenauer, H. Vincze, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Vienna Univ. of Technol., Vienna (Wildenauer, H.; Vincze, M.) |
| Abstract | In this paper, we describe the components of a robust algorithm for the detection of vanishing points in man-made environments. We designed our approach to work under quite general conditions (e.g., uncalibrated camera); and in contrast to several other approaches, the assumption of a dominant line-alignment w.r.t. the orthogonal axes of the world coordinate frame (Manhattan world) is not explicitly exploited. Our only premise is, that if a significant number of the imaged line segments meet very accurately in a point, this point is very likely to be a good candidate for a real vanishing point. For finding such points under a wide range of conditions, we propose a flexible algorithmic pipeline that combines accurate line detection techniques with robust statistical candidate initialization and refinement stages. The method was evaluated on a set of images exhibiting largely varying characteristics concerning image quality and scene complexity. Experiments show that the method, despite the variations, works in a stable manner and that its performance compares favorably with the state of the art. |
| Starting Page | 615 |
| Ending Page | 622 |
| File Size | 6520123 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769528779 |
| DOI | 10.1109/ICIAP.2007.4362845 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image edge detection Layout Cameras Mathematical model Automation Automatic control Robust control Pipelines Robustness |
| Content Type | Text |
| Resource Type | Article |
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