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 points out a new telltale trace – the characteristic of perspective distortion (CPD), for the image forensics of faces. The perspective distortion is determined by the position of image shooting, and it is often overlooked when creating a forgery, which results in the inconsistency between the claimed camera parameters and the CPD in the face image. To investigate this consistency problem,...
Video chat between PC and videophones are now in widespread use, with the advancement of the Three Network Convergence, people looking forward to video chat through the TV. This article describes the overall scheme of IPTV video communication system based on IMS network of China Telecom, introduces the main functions of IMS system is to network management on STB, achieve the encoding and transmission...
This paper presents a gesture recognition framework using voxel data obtained through visual hull reconstruction from multiple cameras. View-invariant pose descriptors are extracted by projecting voxel data onto a low dimensional pose coefficient space using multilinear analysis. Gestures are then treated as sequences of pose descriptors and represented by hidden Markov models for gesture recognition...
In this paper, we propose a video-based full-body gesture recognition system independent of the view angle of the cameras. We performed multilinear analysis on the silhouette images of the static poses making up the gestures by tensor decomposition and projection. Each pair of silhouette images is projected to a view-invariant low dimensional pose coefficient vector space. These pose vectors are then...
In this paper, we propose a novel approach to dance pose recognition and body orientation estimation using multilinear analysis. By performing tensor decomposition and projection using silhouette images obtained from wide base-line binocular cameras, low dimensional pose and body orientation coefficient vectors can be extracted. Different from traditional tensor-based recognition methods, the proposed...
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.