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.
In compressive tracking algorithms, a feature reduction projection matrix is constructed by using compressed sensing theory. Target and non-target objects are discriminated by using a naive Bayesian classifier. Such an algorithm may ensure accuracy of target tracking in real-time. But it is not adaptive for tracking with respect to scales and rotations. In this paper, we propose a novel adaptive algorithm...
Many papers on App Store Mining are susceptible to the App Sampling Problem, which exists when only a subset of apps are studied, resulting in potential sampling bias. We introduce the App Sampling Problem, and study its effects on sets of user review data. We investigate the effects of sampling bias, and techniques for its amelioration in App Store Mining and Analysis, where sampling bias is often...
Fingerprint segmentation is one of the first and most integral pre-processing steps for any fingerprint verification system, and it determines the results of fingerprint analysis and recognition. In this paper, we have proposed a novel algorithm for fingerprint segmentation. The fingerprint image gradient are discussed and its application to fingerprint segmentation is presented. Firstly, Gauss filter...
The medical training systems based on virtual simulation are highly desired since minimally invasive surgical techniques have become popular to patients. The training system helps surgeon trainees to acquire, practice and evaluate their surgical skills, and the key component of such a system is to simulate the dynamic procedure such as 3D biological tissue deformation in surgical operation. In our...
A novel approach to the simulation of soft tissue cutting in a virtual reality endoscopic simulator is presented for applications in surgical training and education. This approach is based on an improved mass-spring model and the use of computational geometry. A virtual spring is introduced to compensate the weakness of the conventional mass-spring model, and a detection algorithm utilizing decomposition...
An integrated silhouette with perfect appearance is helpful for gait recognition. However, the silhouettes often have holes or missing parts, because the commonly used motion detection and extraction methods are not always suitable for every case. A robust post-processing strategy is proposed here to refine the raw silhouettes. First, an individual silhouette model which represents the mutual characteristic...
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.