Pii: S0262-8856(99)00042-6

Using distance transforms to decompose 3D discrete objects

Object decomposition into simpler parts greatly diminishes the complexity of a recognition task. In this paper, we present a method to decompose a 3D discrete object into nearly convex or elongated parts. Object decomposition is guided by the distance transform (DT). Significant voxels in DT are identified and grouped into seeds. These are used to originate the parts of the object by applying t...

Pii: S0262-8856(99)00039-6

We introduce a new class of dithering methods called N-candidate methods. The main idea is that the output color is randomly chosen among several candidate colors so that the estimated color average would be preserved. The dithering process is pixelwise without any interaction with the neighboring pixels. The N-candidate methods are thus location invariant, which has two benefits: (1) the algor...

An efficient method for texture defect detection: sub-band domain co-occurrence matrices

Saccadic search with Gabor features applied to eye detection and real-time head tracking

Image compression using principal component neural networks

Principal component analysis (PCA) is a well-known statistical processing technique that allows to study the correlations among the components of multivariate data and to reduce redundancy by projecting the data over a proper basis. The PCA may be performed both in a batch method and in a recursive fashion; the latter method has been proven to be very effective in presence of high dimension dat...