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dc.contributor Pujol Vila, Oriol
dc.creator Girones Dezsènyi, Marc
dc.date 2016-03-04T12:22:09Z
dc.date 2016-03-04T12:22:09Z
dc.date 2013-06-20
dc.date.accessioned 2024-12-16T10:22:05Z
dc.date.available 2024-12-16T10:22:05Z
dc.identifier http://hdl.handle.net/2445/96133
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/13728
dc.description Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2013, Director: Oriol Pujol Vila
dc.description Motion capture, motion tracking or mocap are the terms used to describe the process of recording movement and translating that movement onto a digital model, it is used in military, entertainment, sports, and medical application. In film making it refers to recording actions of human actors, and using that information to animate digital character models in 3D animation. Unfortunately, most motion capture systems on today's market are prohibitively expensive for educational institutions and small businesses. My goal is to develop a relatively low-cost competitive motion capture system. So in this research I’m looking for the answer how can create an optical mocap player with a single camera. Current motion capture methods use passive markers that are attached to different body parts of the subject and are therefore intrusive in nature. In applications such as pathological human movement analysis, these markers may introduce an unknown artifact in the motion, and are, in general, cumbersome. So the other key challenge is to produce a system that allows marker-less real-time tracking or near the real time. My ultimate objective is to build a visual system that can integrate the above mentioned components, wherewith can display the user’s movement into an avatar in the virtual space. Finally, I will propose a validation system to validate the user movements. I will evaluate the different postures or complete movements. Moreover, I want to go future and show the result in different ways, such as different viewing angles, different meshes or mesh with illumination.
dc.format 54 p.
dc.format application/pdf
dc.language eng
dc.rights memòria: cc-by-sa (c) Marc Girones Dezsènyi, 2015
dc.rights codi: GPL (c) Marc Girones Dezsènyi, 2015
dc.rights http://creativecommons.org/licenses/by-sa/3.0/es
dc.rights http://www.gnu.org/licenses/gpl-3.0.ca.html
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Enginyeria Informàtica
dc.subject Processament digital d'imatges
dc.subject Visualització tridimensional
dc.subject Programari
dc.subject Treballs de fi de grau
dc.subject Reconeixement de formes (Informàtica)
dc.subject Visió per ordinador
dc.subject Digital image processing
dc.subject Three-dimensional display systems
dc.subject Computer software
dc.subject Bachelor's theses
dc.subject Pattern recognition systems
dc.subject Computer vision
dc.title Motion capture with Kinect
dc.type info:eu-repo/semantics/bachelorThesis


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