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Omnidirectional vision and conformal geometric algebra for visual landmark identification
| Content Provider | Scilit |
|---|---|
| Author | López-Franco, C. Bayro-Corrochano, E. |
| Copyright Year | 2008 |
| Description | The automatic landmark identification is very important in autonomous robot navigation tasks. In this paper, we use a monocular omnidirectional vision system to extract the image features and the conformal geometric algebra to compute the projective invariants from such features. We show how these features can be used to compute projective and $permutationp^{2}$-invariantsfrom any kind of omnidirectional vision system. $Thep^{2}$-invariantsrepresent scene sublandmarks, and a set of them characterize a landmark. The advantage of this representation is that the landmarks are more robust than the single cross-ratio. |
| Related Links | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/576727624A375CA822A97B18B58C3B63/S0263574707003967a.pdf/div-class-title-omnidirectional-vision-and-conformal-geometric-algebra-for-visual-landmark-identification-div.pdf |
| Ending Page | 569 |
| Page Count | 11 |
| Starting Page | 559 |
| ISSN | 02635747 |
| e-ISSN | 14698668 |
| DOI | 10.1017/s0263574707003967 |
| Journal | Robotica |
| Issue Number | 5 |
| Volume Number | 26 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2008-09-01 |
| Access Restriction | Open |
| Subject Keyword | Robotica Geometric Algebra Conformal Geometric Algebra Projective Invariants Omnidirectional Vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Artificial Intelligence Rehabilitation Control and Systems Engineering Mechanical Engineering Computational Mechanics Modeling and Simulation Computer Science Applications Computer Vision and Pattern Recognition Software |
