Detection of natural landmarks through multiscale opponent features

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 3, 2000, Pages 976-979

  Todt, Eduardo ^a   Torras, Carme ^a  

^a INSTITUT DE ROBÒTICA I INFORMÀTICA INDUSTRIAL CSIC UPC   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION; VISUALIZATION;

BIOLOGICALLY INSPIRED; COMPUTATIONALLY EFFICIENT; DIFFERENT RESOLUTIONS; LANDMARK DETECTION; MULTISCALE COMPARISONS; OUTDOOR ENVIRONMENT; PRIORI KNOWLEDGE; STRUCTURED INFORMATION;

SIGNAL PROCESSING;

EID: 33750927686     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (23)

1. Bruce, V., Green, P.R., and Georgeson, M.A., Visual Perception, Psychology Press, United Kingdom, 1997.
2. Burt, P.J., "The pyramid as a structure for efficient computation", in Multiresolution image process and analysis, ed. Rosenfeld, A., Springer-Verlag, Heidelberg, 1984, 6-35.
3. Cozman, F., "Decision Making Based on Convex Sets of Probability Distributions: Quasi-Bayesian Networks and Outdoor Visual Position Estimation", Tech. Rep. CMU-RI-TR-97-49, Carnegie Mellon University, Pittsburgh, U.S.A., 1997.
4. Evans, J.C., Smith, J.S., and Lucas, J., "Improving navigation using active landmark recognition", IEEE Colloquium on Autonomous Underwater Vehicles and their Systems - Recent Developments, 1996, 8/1-8/6.
5. Fdez-Vidal, X.R., Garcia, J.A., Fdez-Valdivia, J., and Rodriguez-Sánchez, R., "Computing visual target distinctiveness through integral opponent-color features", VIII National Symposium on Pattern Recognition and Image Analysis, Vol. I, Bilbao, May 1999, 429-436.
6. Franz, M.O., Schölkopf, B., Mallot, H.A., and Bülthoff, H.H., "Learning view graphs for robot navigation", Autonomous Robots 5, 1998, 111-125.
7. Fukuda, T., Yokoyama, Y., Abe, Y., and Tanaka, K., "Navigation system based on ceiling landmark recognition for autonomous mobile robot", IEEE ICRA, 1996, 1720-1725.
8. Gaussier, P., Joulain, C., Zrehen, S., Banquet, J.P., and Revel, A., "Visual Navigation in an open environment without map", IEEE/RSJ IROS, 1997, 545-550.
9. Gevers, T. and Smeulders, A.W.M., "Color-based object recognition", Pattern Recognition, 32(3), 1999, 453-464.
10. Grossberg, S., Mingolla, E., Ross, W., "A neural theory on attentive visual search: interactions of boundary, surface, spatial, and object representations", Psychological Review, 101(3), 1994, 470-489.
11. Humphreys, G.W., Visual cognition: computational, experimental and neuropsychological perspectives, Lawrence Erlbaum Associates Ltd. Publishers, Exeter, 1989
12. Itti, L., Koch, C., and Niebur, E., "A model of saliency-based visual attention for rapid scene analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11), 1998, 1254-1259.
13. Jain, R., Kasturi, R., and Schunck, B.G., Machine Vision, McGraw-Hill, U.S.A., 1995.
14. Jones, S.D., Andersen, C.S., and Crowley, J.L., "Appearance based processes for visual navigation", IEEE/RSJ IROS, 1997, 551-557.
15. Nasr, H. and Bhanu, B., "Landmark recognition for autonomous mobile robots", IEEE ICRA, 1988, pp.1218-1223.
16. Nestares, O., Navarro, R., Portilla, J., and Tabernero, A., "Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions", J. Electronic Imaging, 7, 1998, 166-173.
17. Sangwine, S.J. and Horne, R.E.N., The color image processing handbook. Chapman & Hall, London, 1998.
18. Takeuchi, Y. and Hebert, M., "Evaluation of Image-Based Landmark Recognition Techniques", Tech. Report CMU-RI-TR-98-20, Carnegie Mellon Univ., Pittsburgh, U.S.A., 1998.
19. Talluri, R., and Aggarwal, J.K., "Position estimation for an Autonomous Mobile Robot in an Outdoor Environment", IEEE Trans, on Robotics and Autom., 8(5), 1992, 573-584.
20. Trahanias, P.E., Velissaris, S., and Garavelos, T., "Visual Landmark Extraction and Recognition for Autonomous Robot Navigation", IEEE/RSJ IROS, 1997, 1036-1042.
21. Wouwer, G.V., Scheunders, P., Livens, S., and Dyck, D.V., "Wavelet correlation signatures for color texture characterization", Pattern Recognition, 32(3), 1999, 443-451.
22. Wyszecki, G. and Stiles, W.S., Color Science: Concepts and Methods, Quantitative Data and Formulae, John Wiley and Sons, U.S.A., 1982.
23. Zheng, J.Y., Barth, M., and Tsuji, S., "Autonomous Landmark Selection for Route Recognition by a Mobile Robot", IEEE ICRA, 1991, 2004-2009.