Abstract
Given an unknown test object and several reference classes, how do we determine which class the unknown object belongs to? The problem is more complicated when the object is 3-D and its size can vary over a broad range. Our approach is based on principles of tomography: Several views of the object are taken and reduced to projections (line integrals). The projections are Fourier transformed and mapped into a scale and rotation-invariant function via the Mellin transform and circular harmonic coefficients. The resulting function has other invariants useful in pattern recognition. A demonstration using two look-alike gears of different sizes is furnished. The technique is also useful if only partial view data of the unknown object are available. This is demonstrated as well.
© 1985 Optical Society of America
PDF ArticleMore Like This
Ron Wu and Henry Stark
FK1 OSA Annual Meeting (FIO) 1988
Ronald Wu and Henry Stark
ThD2 Signal Recovery and Synthesis (SRS) 1986
Amit Bandyopadhyay
MM4 OSA Annual Meeting (FIO) 1987