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.
We present a fusion of augmented reality (AR) and virtual try on (VTO) that incorporates sparse 3D point recovery by exploiting distance constraints based on 2D point correspondences between a deformed texture in monocular video and a reference texture which is derived from the start of the sequence by face detection aided segmentation. A hierarchical and multi-resolution surface reconstruction approach...
We propose a method for interactive modeling of objects and object relations based on real-time segmentation of video sequences. In interaction with a human, the robot can perform multi-object segmentation through principled modeling of physical constraints. The key contribution is an efficient multi-labeling framework, that allows object modeling and disambiguation in natural scenes. Object modeling...
We introduce a scheme for the production of LDV (Layered Depth Video) content, based on capturing from a hybrid camera system, consisting of two time of flight and five CCD cameras and introduce a post production step, based on Grab - Cut segmentation, which significantly improves the quality of the end result. The proposed improvement step can be done fully automatically, based on initialization...
In this paper, a quasi-automatic video matting approach which can preserve the temporal consistency of the alpha mattes is presented. “Quasi-automatic” means that it only needs a few user interactions on the first frame. A new algorithm which incorporates the Bayesian Estimation, Weighted Kernel Density Estimation (WKDE) and graph cut is presented to automatically and accurately segment each frame...
A new vision and inertial pose estimation system was implemented for real-time handheld augmented reality (AR). A sparse set of 3D cone fiducials are utilized for scalable indoor/outdoor tracking, as opposed to traditional planar patterns. The cones are easy to segment and have a large working volume which makes them more suitable for many applications. The pose estimation system receives measurements...
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.