Publication

Visualization of Local Movements for Optimal Marker Positioning

Daniel Thalmann, Ronan Boulic, Marius-Calin Silaghi
2000
Conference Papers

Abstract

Motion capture has been adopted for the production of highly realistic movements, as well as for the clinical analysis of pathological motion. In both cases, a skeleton model has to be identified to derive the joint motion. The optical technology has gained popularity due to the high precision of its marker position measurements. However, when it comes to building the skeleton frames out of the 3D marker positions, significant local skin deformations may penalize the quality of the model reconstruction. We exploit a local fitting tool to visualize the influence of skin deformation on marker movements. Such a knowledge can in turn improve the layout of optical markers. We illustrate our viewpoint on motions of the upper-torso.

Official source

https://infoscience.epfl.ch/entities/publication/981f5c41-bded-4f1e-8a57-567ad50810da

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Daniel Thalmann, Ronan Boulic, Marius-Calin Silaghi
2000
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/981f5c41-bded-4f1e-8a57-567ad50810da

About this result

Related concepts (15)

Motion capture

Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports, medical applications, and for validation of computer vision and robots. In filmmaking and video game development, it refers to recording actions of human actors and using that information to animate digital character models in 2D or 3D computer animation. When it includes face and fingers or captures subtle expressions, it is often referred to as performance capture.

Facial motion capture

Facial motion capture is the process of electronically converting the movements of a person's face into a digital database using cameras or laser scanners. This database may then be used to produce computer graphics (CG), computer animation for movies, games, or real-time avatars. Because the motion of CG characters is derived from the movements of real people, it results in a more realistic and nuanced computer character animation than if the animation were created manually.

Finger tracking

In the field of gesture recognition and , finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D. In addition to that, the finger tracking technique is used as a tool of the computer, acting as an external device in our computer, similar to a keyboard and a mouse. The finger tracking system is focused on user-data interaction, where the user interacts with virtual data, by handling through the fingers the volumetric of a 3D object that we want to represent.

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Visualization of Local Movements for Optimal Marker Positioning

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