The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a system to recognize face by a variation of LBPH. We use a method of regression of local binary features to get the landmark of face image whose computational complexity is very low. We utilize these landmark points which can be trained to align the face, to extract the facial features. By calculating the Local Binary Patterns Histogram (LBPH) of these landmark points and its...
In this paper, due to the low information transfer rate and low recognition accuracy in Brain-Computer Interface (BCI), a four-class motor imagery Brain-Robot Interface based on Repeated Binary Common Spatial Pattern (RB-CSP) and Support Vector Machine (SVM) is proposed. The control strategy is offline training first, online control next-after users finish learning to control their thinking, the system...
A new restoration algorithm aimed at local motion-blur in a complex background is proposed in this paper. First, the local blur part of the image is extracted from the complex background and it is pasted on a bottom of monochromatic background. Then image restoration is done on the blur part in the monochromatic background which is easy to be restored. Finally, the restored local image is pasted back...
Objective: To study the features in the pulse waves of women during pregnancy. Methods: To collect the pulse waves of pregnant women in different stage and compare them with normal women's. We choose continuous cycles waves with different period length and then do the LSQ regression by 12 harmonics fitting to build mathematical model and extract 193 parameters after pretreatment, then do classification...
To remove the redundant features extracted by using 2DPCA methods, a face recognition method is presented based on 2DPCA and fuzzy-rough technique in this paper. The proposed method selects the important features for classification by using attribute reduction in fuzzy rough sets theory. The experimental results show the proposed method outperforms the face recognition methods based on 2DPCA.
The defects detection based on algorithms of discrete wavelet packet transform and back propagation artificial neural network is described firstly. Then the reconfigurable architecture of the defects detection in embedded reconfigurable system is discussed. Upon the reconfigurable architecture, the algorithms of discrete wavelet packet transform and back propagation neural net work are rearranged...
The intelligent role in virtual environment can be located when using vision to get the target image, but there is a source separation problem in case of unknown complex natural signals. In order to resolve the source separation problem, this paper proposed the target three-dimensional modeling based on the visual image processing of virtual robot; applied the method based on the nonlinear Principle...
This paper proposes an integration system to the logistics enterprise information system in distributed heterogeneous environment. We establish a framework structure of universal data mining system based on logistics data warehouse and apply the proposed system into practical management of logistics and shipping enterprises. Feature extraction and data sample classification from large-scale data warehouse...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.