There are regularly arranged blobs that contain neurons labeled by cytochrome oxidase (CO) in the supragranular layer of the primary visual cortex (V1) of monkeys and cats. This theoretical study demonstrates that CO-blob-like patterns can be reproduced based on the thermodynamic model for the activity-dependent self-organization of afferent inputs from two different groups of neurons to the su...

Deception dectection is one of the most difficult problems in affect recognition and expression research area. Recently, non-verbal methods of detecting deception have appeared to be promising. Thomas[1] presented a proof-of-concept study based on the blob analysis of some suspects’ interviews and mock experiments video clips. In this paper, we present our recent research work in the direction ...

We propose a novel discrete method of constructing Gaussian Random Fields based on combination modified spectral representations, Fourier and Blob. The is intended for Direct Numerical Simulations the V-Langevin equations. latter are stereotypical descriptions anomalous stochastic transport in various physical systems. From an Eulerian perspective, our designed to exhibit improved convergence r...

Magnetic fusion could provide an inexhaustible, clean, and safe solution to the global energy needs. The success of magnetically-confined fusion reactors demands steady-state plasma confinement which is challenged by the edge turbulence such as the blob-filaments. Real-time analysis can be used to monitor the progress of fusion experiments and prevent catastrophic events. We present a real-time...

We present a method to classify atomic density distributions using CCD images obtained in a quantum optics experiment. The classification is based on the scale invariant detection and precise localization of the central blob in the input image structure. The key idea is the usage of an a priori known shape of the feature in the image scale space. This approach results in higher localization acc...

This report describes how blob features can be used for automatic estimation of the fundamental matrix from two perspective projections of a 3D scene. Blobs are perceptually salient, homogeneous, compact image regions. They are represented by their average colour, area, centre of gravity and inertia matrix. Coarse blob correspondences are found by voting using colour and local similarity transf...

We propose a three-dimensional ~3-D! tube model consisting of a sequence of connected two-gate blobs for an ion channel and a microtube of a molecular motor. Due to the competition effect between two gates ~or sinks! on the same blob surface, the escape pathway for the Brownian particle inside a blob is selected by these two gates owing to gate modulation. Furthermore, there exists a nonzero ne...

The global dynamic of plasma blobs in a shear flow is investigated in a simple magnetized torus using the spatial Fourier harmonics (k-space) framework. Direct experimental evidence of a linear drift in k space of the density fluctuation energy synchronized with blob events is presented. During this drift, an increase of the fluctuation energy and a production of the kinetic energy associated w...

This study presents efficient vision-based finger detection, tracking, and event identification techniques and a low-cost hardware framework for multi-touch sensing and display applications. The proposed approach uses a fast bright-blob segmentation process based on automatic multilevel histogram thresholding to extract the pixels of touch blobs obtained from scattered infrared lights captured ...

This paper presents a system to track moving humans in an indoor environment. We propose a cooperative approach of monocular camera and omnidirectional camera to the problem of finding humans by a mobile robot. A cooperation of fixed and moving platforms is proposed for this approach, which features background subtraction, pixel classification, color blob merging, color blob relation and segmen...