Sentence examples for extract shape from inspiring English sources

A variety of methods that extract shape and motion features have been proposed in literature [5 8, 17, 18].

These extensions additionally extract shape and/or gradient information of the image to enhance the discriminativity of the original approach.

An adaptive geometric moment descriptor (AGMD), defined on surface parametric space, is able to extract shape features from a series of full-field transient responses under random excitation.

In the last decades, moment invariants have been extensively studied and widely applied in image analysis and pattern recognition, since they can extract shape features independently of geometric transformation.

These algorithms extract shape descriptors [4 15], curves [16, 17], structures [18, 19], or graphs [20] from both point clouds (sometimes meshes are used instead) in order to compare them.

We provide numerous illustrations of how CTFs let us extract shape from data and also apply CTFs to manifold clustering, the problem of categorizing data points according to their noisy membership in a collection of possibly intersecting smooth submanifolds of Euclidean space.

Although experiments with live animals will be needed to determine whether rats actually use this strategy to extract shapes, Kleinfeld thinks the research could have practical applications either way.

In this work we propose a method to extract shape-based features from endoscopic images for an automated classification of colonic polyps.

The recognition methodology relies on extracting shape descriptors from contours of ligature images.

By extracting shape features, we can get the shape diagram of the data block and save its center point.

The extracted shape parameter k is of significantly low values; therefore, our choice of the GEV type I (also known as log-Weibull) characterized by k=0 is appropriate (see Equation 5).