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A new thermal imaging framework with unique feature extraction and similarity measurements for face recognition is presented. The research premise is to design specialized algorithms that would extract vasculature information, create a thermal facial signature, and identify the individual. The proposed algorithm is fully integrated and consolidates the critical steps of feature extraction through...
In this paper, we propose a flexible band variable Chan-Vese model to segment the desired object in color images. Classical Chan-Vese model based on level set implementation can handle topological changes and detect the interior and exterior boundaries of all objects automatically, but cannot segment the desired object alone. We build the texture restricting probability distribution from color and...
The paper presents a technique of 3D fashion modeling from photographs of wearing clothes in front and back views. Firstly, an efficient segmentation method is applied on photographs to obtain the silhouette of the fashion. Then, a template-based feature extraction algorithm is introduced to determine the feature points on the garment. Finally, a view-dependent deformation technique is described to...
To overcome the problem of registration error accumulation, this paper presents a fast video mosaic approach especially suitable for real-time observation of large static scenes. Different from the traditional video mosaic algorithm based on pair-wise local registration, the proposed new approach can directly compute the projective transform between the current input image and the panoramic image,...
Previous approaches to improve mixing between miscible liquid streams are based on lamination; introducing chaotic advection through patterned channel walls; or through three dimensional (3D) channel networks. A new mixer for miscible liquids based on segmented gas-liquid flow is presented here. It can be operated over a very large range of liquid flow rates and is therefore compatible with nanoparticle...
One of the key problems of conventional iris recognition methods is that they are based on processing single iris image and require good image quality as an essential condition. These requisites entail considerable constraints on users for taking iris images. Video based iris recognition can provide convenience and time efficiency to the subjects with undemanding restrains during iris acquisition...
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