Object recognition and detection by a combination of support vector machine and rotation invariant phase only correlation

Author

Nakajima, Chikahito ; Itoh, Norihiko ; Pontil, Massimiliano ; Poggio, Pontil Tomaso

Author_Institution

Central Res. Inst. of Electr. Power Ind., Tokyo, Japan

Volume

4

fYear

2000

fDate

2000

Firstpage

787

Abstract

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

Keywords

augmented reality; correlation methods; head-up displays; image classification; image sequences; learning automata; object detection; object recognition; RIPOC; SVM; augmented reality system; head-mounted display; image sequences; learning technique; object detection; object recognition; position invariant pattern matching technique; real-time system; rotation invariant pattern matching technique; rotation invariant phase-only correlation; statistical learning theory; support vector machine classifier; Augmented reality; Image recognition; Image sequences; Object detection; Object recognition; Pattern matching; Phase detection; Statistical learning; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.903035

Filename

903035