Multiple line-template matching with the EM algorithm

Pattern Recognition Letters

Volumn 18, Issue 11-13, 1997, Pages 1283-1292

  Moss, Simon ^a   Hancock, Edwin R ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Aerial image registration; EM algorithm; Line templates; Mixture of Gaussians

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE SEGMENTATION; MAPS; PROBABILITY;

AERIAL IMAGE REGISTRATION; EXPECTATION MAXIMISATION ALGORITHM; MULTIPLE LINE TEMPLATE MATCHING;

PATTERN RECOGNITION;

EID: 0031274389     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00102-5     Document Type: Article

References (9)

1. Bialek, W., Deweese, M., 1995. Random switching and optimal processing in the perception of ambiguous figures - A neural network model. Phys. Rev. Lett. 74, 3077-3080.
2. Callari, F.G., Ferrie, F.P., 1996. Active recognition: using uncertainty to reduce ambiguity. In: Proc. IEEE CVPR Conf., pp. 701-707.
3. Dempster, A.P., Rubin, N.M., Rubin, D.B., 1977. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statist. Soc. Ser. B 39, 1-38.
4. Feldman, J.A., Ballard, D.H., 1982. Connectionist models and their properties. Cognitive Science 6, 205-254.
5. Kawabata, N., Mori, T., 1992. Disambiguating ambiguous figures by a model of selective attention. Biological Cybernetics 67, 417-425.
6. Minka, T., Picard, R., 1996. Interactive learning with a society of models, In: Proc. IEEE Computer Society Computer Vision and Pattern Recognition Conf., pp. 447-452.
7. Moss, S., Hancock, E.R., 1996. Cartographic matching onto millimetre radar images, In: Proc. IEEE Computer Society Workshop on Applications of Computer Vision.
8. Qin, C., Luh, J.Y.S., 1994. Ambiguity reduction in relaxation labelling. Pattern Recognition 27, 165-180.
9. Riani, M., Simonotto, P., 1994. Stochastic resonance in the perceptual interpretation of ambiguous figures - A neural network approach. Phys. Rev. Lett. 72, 3120-3123.