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On Resolving Ambiguities in Arbitrary-Shape extraction by the Hough Transform
| Content Provider | Semantic Scholar |
|---|---|
| Author | Montiel, Eugenia Aguado, Alberto S. Nixon, Mark S. |
| Copyright Year | 2000 |
| Abstract | The Hough transform extracts a shape by gathering evidence obtained by mapping points from the image space into a parameter space. In this process, wrong evidence is generated from image points that do not correspond to the model shape. In this paper, we show that significant wrong evidence can be generated when the Hough Transform is used to extract arbitrary shapes under rigid transformations. In order to reduce the wrong evidence, we consider two types of constraints. First, we define constraints by considering invariant features. Secondly, we consider constraints defined via a gradient direction information. Our results show that these constraints can significantly improve the gathering strategy, leading to identification of the correct parameters. The presented formulation is valid for any rigid transformations represented by affine mappings. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://eprints.soton.ac.uk/253959/1/P58.pdf |
| Alternate Webpage(s) | http://www.comp.leeds.ac.uk/bmvc2008/proceedings/2000/papers/p58.pdf |
| Alternate Webpage(s) | http://www.bmva.org/bmvc/2000/papers/p58.pdf |
| Alternate Webpage(s) | http://www.bmva.ac.uk/bmvc/2000/papers/p58.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
