نتایج جستجو برای: shape identification

تعداد نتایج: 593494  

Journal: :Vision research 1991
M S Landy B A Dosher G Sperling M E Perkins

We use a difficult shape identification task to analyze how humans extract 3D surface structure from dynamic 2D stimuli--the kinetic depth effect (KDE). Stimuli composed of luminous tokens moving on a less luminous background yield accurate 3D shape identification regardless of the particular token used (either dots, lines, or disks). These displays stimulate both the 1st-order (Fourier-energy)...

Journal: :International Journal of Computer Applications 2015

Journal: :International Journal of Computer Applications Technology and Research 2013

2006
Shijian Lu Chew Lim Tan Weihua Huang

This paper presents a language identification technique that differentiates Latin-based languages in degraded and distorted document images. Different from the reported methods that transform word images through a character shape coding process, our method directly captures word shapes with the local extremum points and the horizontal intersection numbers, which are both tolerant of noise, char...

Journal: :Journal of Computational and Applied Mathematics 2012

Journal: :The Journal of the Acoustical Society of America 2008

Journal: :International Journal of Computer Applications 2014

Journal: :international journal of advanced design and manufacturing technology 0
mahmud khodadad mohsen dashtiardakani

the effect of boundary conditions on the solution of the inverse problem of identifying the geometry and location of a cavity inside an elastic solid body using displacement measurements obtained from a tension test is investigated. the boundary elements method (bem) coupled with the genetic algorithm (ga) and the conjugate gradient method (cgm) are implemented in this identification problem. a...

Journal: :J. Comput. Physics 2015
Habib Ammari Junqing Chen Zhiming Chen Darko Volkov Han Wang

In this paper we introduce an efficient algorithm for identifying conductive objects using induction data derived from eddy currents. Our method consists of first extracting geometric features from the induction data and then matching them to precomputed data for known objects from a given dictionary. The matching step relies on fundamental properties of conductive polarization tensors and new ...

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