Scale space for central catadioptric systems: Towards a generic camera feature extractor

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 1599-1606

  Puig, Luis ^a   Guerrero, J J ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA MODEL; CENTRAL CATADIOPTRIC SYSTEMS; DIFFERENTIAL OPERATORS; FEATURE EXTRACTOR; GAUSSIAN SMOOTHING; GAUSSIANS; INTEREST POINTS; LAPLACIANS; OMNIDIRECTIONAL IMAGE; PARACATADIOPTRIC; REAL IMAGES; SCALE INVARIANT; SCALE SPACES; SECOND ORDERS;

CAMERAS; IMAGING SYSTEMS; LAPLACE TRANSFORMS; LENSES; MATHEMATICAL OPERATORS; PARTIAL DIFFERENTIAL EQUATIONS; SPHERES; TELESCOPES;

IMAGE PROCESSING;

EID: 84856667630     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126420     Document Type: Conference Paper

References (19)

1. Z. Arican and P. Frossard. OmniSIFT: Scale Invariant Features in Omnidirectional Images. In Proceedings of the International Conference on Image Processing (ICIP), 2010. 1, 2, 3, 4
2. S. Baker and S. Nayar. Single viewpoint catadioptric cameras, 2001. 1
3. J. P. Barreto and H. Araujo. Issues on the geometry of central catadioptric image formation. Proceedings of the Conference on Computer Vision and Pattern Recognition, 2:422-427, 2001. 2
4. M. Bertalmío, L.-T. Cheng, S. Osher, and G. Sapiro. Variational problems and partial differential equations on implicit surfaces. Journal of Computational Physics, 174(2):759-780, 2001. 2
5. I. Bogdanova, X. Bresson, J.-P. Thiran, and P. Vandergheynst. Scale space analysis and active contours for omnidirectional images. IEEE Transactions on Image Processing, 16(7):1888-1901, july 2007. 1, 2, 3
6. T. Bulow. Spherical diffusion for 3d surface smoothing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(12):1650-1654, dec. 2004. 1
7. J. Cruz, I. Bogdanova, B. Paquier, M. Bierlaire, and J.-P. Thiran. Scale Invariant Feature Transform on the Sphere: Theory and Applications. Technical report, EPFL, 2009. 1
8. M. Fleck. Perspective projection: The wrong imaging model. Technical report, Univ. of Iowa, 1995. 2
9. C. Geyer and K. Daniilidis. A unifying theory for central panoramic systems and practical applications. In Proceedings of the 6th European Conference on Computer Vision-Part II, pages 445-461, London, UK, 2000. 2
10. J. J. Guerrero, A. C. Murillo, and C. Sagues. Localization and matching using the planar trifocal tensor with bearingonly data. IEEE Transactions on Robotics, 24(2):pp. 494-501, 2008. 1
11. P. Hansen, P. Corke, andW. Boles. Wide-angle visual feature matching for outdoor localization. The International Journal of Robotics Research, 29:267-297, 2010. 1
12. P. Hansen, P. Corke, W. Boles, and K. Daniilidis. Scaleinvariant features on the sphere. In IEEE 11th International Conference on Computer Vision, pages 1-8, 2007. 1
13. T. Kadir and M. Brady. Saliency, scale and image description. Int. J. Comput. Vision, 45:83-105, 2001. 1
14. M. Lourenço, J. Barreto, and A. Malti. Feature detection and matching in images with radial distortion. In IEEE International Conference on Robotics and Automation, pages 1028-1034, 2010. 1
15. D. Lowe. Distinctive image features from scale-invariant keypoints. In International Journal of Computer Vision, volume 20, pages 91-110, 2004. 1, 7
16. J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In British Machine Vision Conference, 2002. 1
17. K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. Int. J. Comput. Vision, 60:63-86, October 2004. 1
18. L. Puig, Y. Bastanlar, P. Sturm, J. J. Guerrero, and J. Barreto. Calibration of central catadioptric cameras using a DLT-like approach. Int. J. Comput. Vision, 93:101-114, 2011. 3
19. A. Vedaldi. An open implementation of SIFT detector and descriptor. Technical Report 070012, UCLA CSD, 2007. 7