نتایج جستجو برای: geometrical features

تعداد نتایج: 549034  

Journal: :Water 2022

The solute transport in the fractured rock is dominated by a single fracture. geometric characteristics of rough-walled fractures considerably influence their behavior. According to self-affinity rough fractures, fractal model established based on fractional Brownian motion and successive random accumulation method. Navier–Stokes equation convective-dispersion are employed analyze effect dimens...

2002
Alexandra L. N. Wong Pengcheng Shi

We propose a feature-based hierarchical framework for hand geometry recognition, based upon matching of geometrical and shape features. Rid of the needs for pegs, the acquisition of the hand images is simplified and more user-friendly. Geometrical significant landmarks are extracted from the segmented images, and are used for hand alignment and the construction of recognition features. The reco...

2003
Jian Liang David S. Doermann

The use of content features extracted from recognized text is valuable in labeling logical elements in documents without rigid layout structure, like business letters. This paper discusses a model-based approach to combining content features with other geometrical and presentation features for logical labeling. Models are automatically initialized and adaptively improved using training samples....

2002
M. Gastaud M. Barlaud G. Aubert

In this paper, we address the problem of tracking video objects through several frames. We present a new tracking algorithm using the active contour theory framework. Our first contribution is to define a new tracking criterion combining geometrical and regionbased features. Our second contribution is to provide the differentiation of the criterion and to deduce the evolution equation of the ac...

2003
Enrique Cabello Araceli Sánchez Luis Pastor

This paper presents some results on the possibilities offered by neural networks for human face recognition. In particular, two algorithms have been tested: learning vector quantization (LVQ) and multilayer perceptron (MLP). Two different approaches have been taken for each case, using as input data either preprocessed images (gray level or segmented), or geometrical features derived from a set...

Journal: :پژوهش های حبوبات ایران 0
رضوی رضوی زایرزاده زایرزاده خفاجی خفاجی پهلوانی پهلوانی

some physical properties such as geometrical, gravimetrical, frictional and aerodynamic features of seeds of desi chickpea and its splits were studied at a moisture content of 8.2 and 9.0% w., respectively from north-western of iran. geometrical and gravimetrical properties including the average length, width, thickness, the geometric mean of diameter, sphericity, 1000-seed weight, unit weight,...

Journal: :Physical review. A, Atomic, molecular, and optical physics 1995
Kitano

We investigate the geometrical features of one-dimensional wave propagation, whose dynamics is described by the (2+1)-dimensional Lorentz group. We find many interesting geometrical ingredients such as spinorlike behavior of wave amplitudes, gauge transformations, Bloch-type equations, and Lorentz-group Berry phases. We also propose an optical experiment to verify these effects. PACS numbers: 0...

2015
Sigmund Mongstad Hope Sumanta Kundu Chandreyee Roy Subhrangshu S. Manna Alex Hansen

Desert roses are gypsum crystals that consist of intersecting disks. We determine their geometrical structure using computer assisted tomography. By mapping the geometrical structure onto a graph, the topology of the desert rose is analyzed and compared to a model based on diffusion limited aggregation. By comparing the topology, we find that the model gets a number of the features of the real ...

Journal: :Signal Processing Systems 2011
Bin Luo Jocelyn Chanussot

The spectral features of hyperspectral images, such as the spectrum at each pixel or the abundance maps of the endmembers, describe the material attributes of the structures. However, the spectrum on each pixel, which usually has hundreds of spectral bands, is redundant for classification task. In this paper, we firstly use spectral unmixing to reduce the dimensionality of the hyperspectal data...

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