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 this article, we present a hybrid render farm which can accommodate cloud-based rendering servers to extend the rendering capacity of a local cluster render farm. A rendering workload in real world tends to highly fluctuate so a seamless execution environment for overloaded jobs is a strong demand from post-production. However, running a rendering job on a remote cloud has a few challenging issues:...
Bile duct identification and extraction in magnetic resonance cholangiopancreatography (MRCP) images, is a necessary step in the development of computer-aided diagnosis systems using such images. MRCP is becoming the de facto modality in the diagnosis of biliary diseases and even in the pre-surgical workup for liver transplants. The energy minimization graph-cut method is a proven technique in the...
Researches of image-based 3D reconstruction have recently produced a number of good results, but they assume that the accurate foreground to be reconstructed is already extracted from each input image. This paper proposes a novel approach to extract more accurate foregrounds by iteratively performing foreground extraction and 3D reconstruction in a manner similar to an EM algorithm on regions segmented...
A graph cuts method has recently attracted a lot of attention for image segmentation, as it can minimize an energy function composed of data term estimated in feature space and smoothness term estimated in an image domain. Although previous approaches using graph cuts have shown good performance for image segmentation, they manually obtained prior information to estimate the data term, thus automatic...
A graph-cut method has been successfully used in many applications for image segmentation. However, it needs lots of time and user intervention. In case of multi view image (MVI), it is especially hard to segment all images in a short time because of numerous images in MVI. In this paper, we describe a new technique for multi view image segmentation, which needs minimum user intervention and provides...
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.