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Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90303515th International Conference on Patt ...
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Chikahito Nakajima, Central Research Institute of Electric Power Industry
Norihiko Itoh, Central Research Institute of Electric Power Industry
Massimiliano Pontil, Massachusetts Institute of Technology
Tomaso Poggio, Massachusetts Institute of Technology
This paper proposes an object recognition and detection method by a combination of Support Vector Machine Classifier (SVM) and Rotation Invariant Phase Only Correlation (RIPOC). SVM is a learning technique that is well founded in statistical learning theory. RIPOC is a position and rotation invariant pattern matching technique. We combined these two techniques to develop an augmented reality system. This system can recognize and detect objects from image sequences without special image marks or sensors and show information about the objects through a head-mounted display. Performance is real time.
Citation:
Chikahito Nakajima, Norihiko Itoh, Massimiliano Pontil, Tomaso Poggio, "Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation," icpr, vol. 4, pp.4787, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000
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