作者：
Perales, F.J.Fisher, R.UIB
Dept. of Computer Science and Mathematics Computer Graphics and Vision Group C/ Valldemossa Km. 7.5 PC 07122 Palma de Mallorca Spain University of Edinburgh
School of Informatics James Clerk Maxwell Building Mayfield Road Edinburgh EH9 3JZ United Kingdom
In this paper a novel analysis of space-time volume of spherical projection image is presented. So far space-time analyses have been extensively conducted for various purposes, i.e. 3-D reconstruction, estimation of c...
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ISBN:
(纸本)0769525210
In this paper a novel analysis of space-time volume of spherical projection image is presented. So far space-time analyses have been extensively conducted for various purposes, i.e. 3-D reconstruction, estimation of camera motion and novel view synthesis and most of them consider only a planer projection and a single camera. In contrast, we conducted analysis on spherical projection for multiple cameras. Since spherical projection does not change its appearance in relation to rotation around the origin of the sphere, extrinsic camera parameters and synchronous parameters of multiple video cameras can be simultaneously estimated by registering multiple space-time volumes of spherical projection, which can be easily achieved by block-matching technique. By using the parameters, multiple video images can be successfully integrated into single omni-directional images without distortions.
Chemical taste is indispensable information in food testing. the technical of electronic tongue system is one of research directions to identify different chemical tastes. this paper focuses on the patternrecognition...
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ISBN:
(纸本)9781424437092
Chemical taste is indispensable information in food testing. the technical of electronic tongue system is one of research directions to identify different chemical tastes. this paper focuses on the patternrecognition method based on learning vector quantization (LVQ) neural network. the electronic tongue system designed could identify all the samples of beer, fruit juice and milk successfully in the experiments. the result shows that LVQ neural network is applicable in the patternrecognition of electronic tongue system and can also be used on condition that information is gathered by multisensors array. the patternrecognition methods of the universal electronic tongue are proposed in this paper. the effective universal electronic tongue has much advantage over others such as simple methods of patternrecognition and classification, easy training approaches and wider application fields.
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