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In this paper, we propose a blending method of varying parametric surfaces. We first discuss governing equations of blending problems of varying parametric surfaces. Then, we demonstrate how to determine varying blending boundary constraints. A closed form solution of the governing equations is developed and employed to generate varying blending surfaces. When primary surfaces change their shape,...
We investigate the use of the particle filtering sequential Bayesian estimation technique and its hardware implementation for tracking neural activity. We propose using the multiple particle filter (MPF) approach in order to reduce the computational intensity incurred due to the large number of sensors required to observe the noninvasive magnetoencephalography (MEG) measurements needed to estimate...
Skin movement modeling is a crucial element for realistic animation of both human and creature characters. In this paper, we are primarily concerned with a special skin movement effect, skin sliding. Although physical properties, such as skin elasticity, are usually regarded important in physical simulation, it often leads to an increasing computational load. A complete physical solution will also...
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