3-D Rotation And Scale Invariant Object Recognition From Multiple Views

Rong-Hwang Wu; Henry Stark

doi:10.1117/12.967305

1 January 1987 3-D Rotation And Scale Invariant Object Recognition From Multiple Views

Rong-Hwang Wu, Henry Stark

Proceedings Volume 0813, Optics and the Information Age; (1987) https://doi.org/10.1117/12.967305
Event: 14th Congress of the International Commission for Optics, 1987, Quebec, Canada

Abstract

Rotation invariant recognition of two-dimensional objects (e.g., images) can be done robustly using circular harmonic function (CHF) expansion coefficients.1-4 Scale (size) invariant recognition can be done using Mellin transforms.5 The two activities together can be combined into a single algorithm that efficiently enables scale and rotation invariant recognition. Such algorithms, whether based on CHF's or other methods, are described in the literature.6-7 The method used by the authors involves computing the Mellin transform of the CHF coefficients, generating an appropriate feature vector based on these objects, and comparing these vectors with a reference. If the test feature vector is near enough the reference then a match is declared. The procedure seems to be quite robust.

Citation Download Citation

Rong-Hwang Wu and Henry Stark "3-D Rotation And Scale Invariant Object Recognition From Multiple Views", Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); https://doi.org/10.1117/12.967305

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