<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Vortex Extraction Of Vector Fields\r\n"^^ . "Spinning, turbulent structures swirling around its centers within various flow media are known as vortices. \r\nThe capability of locating and extracting vortical structures in flow data is crucial for understanding the flow. \r\nVortices also have a strong impact on flow control and transport processes. \r\n\r\nReal-time vortex extraction methods are presented, offering immediate notion of the shape and location of the vortex structures. \r\nUsing a real-time fluid simulation based on Navier-Stokes equations \r\npresented in \\cite{Stam:1999:SF}, several vortex extraction methods are interactively performed in real-time. \r\nFollowing vortex extraction methods are implemented using the GPU: vorticity threshold, Q criterion, \r\n$\\lambda_2$ criterion, the eigenvector method via parallel vectors operator (PVO) and the eigenvector method via coplanar vectors operator (CVO). \r\n\r\nDiffusional methods outputting flow fields with preserved/enhanced vortical structures are also presented. \r\nSuch methods are useful for obtaining an alternative insight into vortices within a flow field and can also be used within the real-time simulation. \r\n\r\nUsing a number of human performed gestures for human-computer interaction, special ensemble flow fields are produced. \r\nDetecting vortices from these gesture ensemble range flows is introduced as aid for gesture classification. \r\nGesture range data is recorded using the Microsoft Kinect device. \r\nRange or scene flow is a 3D vector field describing movement within a scene. \r\nRange data consists of images (color channels) and corresponding depth images (depth channels) in which the distance \r\nof objects is recorded as a grayscale image. \r\nEnsemble range flow is estimated from gesture videos. \r\nEnsemble flow describes the overall flow within the scene and is obtained by averaging the structure tensor throughout the scene. \r\nVortices are extracted from an ensemble range flow of the gestures. \r\nTheir number and location is offering an additional parameter for gesture classification. \r\n\r\nCollection of methods for detecting vortices and obtaining vector fields with emphasized vortices are introduced in this thesis. \r\nReal-time execution of vortex extraction methods offers an instant notion of the nature of the flow. \r\nDiffusional methods can serve as a processing step within the real-time vortex extraction. \r\nAs an additional application, gesture ensemble flow is presented. By detecting its vortices, \r\na parameter for gesture classification is introduced."^^ . "2013" . . . . . . . "Dorotea"^^ . "Dudaš"^^ . "Dorotea Dudaš"^^ . . . . . . "Vortex Extraction Of Vector Fields\r\n (PDF)"^^ . . . "PhD_final.pdf"^^ . . . "Vortex Extraction Of Vector Fields\r\n (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "Vortex Extraction Of Vector Fields\r\n (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Vortex Extraction Of Vector Fields\r\n (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Vortex Extraction Of Vector Fields\r\n (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Vortex Extraction Of Vector Fields\r\n (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #15680 \n\nVortex Extraction Of Vector Fields \n\n\n" . "text/html" . . . "004 Informatik"@de . "004 Data processing Computer science"@en . . . "500 Naturwissenschaften und Mathematik"@de . "500 Natural sciences and mathematics"@en . . . "510 Mathematik"@de . "510 Mathematics"@en . . . "530 Physik"@de . "530 Physics"@en . . . "600 Technik, Medizin, angewandte Wissenschaften"@de . "600 Technology (Applied sciences)"@en . .