Framework for object recognition in images using the short-time Fourier transform

Vidya B. Manian; Ramon E. Vasquez

doi:10.1117/12.258233

14 November 1996 Framework for object recognition in images using the short-time Fourier transform

Vidya B. Manian, Ramon E. Vasquez

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258233
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

The problem of object recognition in images regardless of their scale and orientation is considered in this paper. A framework is used to train and to recognize or classify a transformed object. A set of features obtained from the short-time Fourier transform of the object is used for scale and rotation invariant recognition. An analysis window is used to compute the short-time Fourier transform. The Fourier magnitudes in the polar domain constitute the scale invariant and rotation invariant features. Since, short time sections are used in this method, features are more separable because of the localization of the window which is useful for discriminating variants of very similar objects. The recognition system is tested for different sets of scales and rotations of several objects. This framework performed well for the range of scales and orientations of the objects considered. The framework is computationally efficient and showed robustness in the presence of noise. The tasks involved are simple and the framework can be used for real-time applications.

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Vidya B. Manian and Ramon E. Vasquez "Framework for object recognition in images using the short-time Fourier transform", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258233

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KEYWORDS

Fourier transforms

Object recognition

Feature extraction

Computing systems

Pattern recognition

Computer engineering

Detection and tracking algorithms

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