Using biomechanical constraints to improve video-based motion capture
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This paper presents a system for facial animation retargeting that al- lows learning a high-quality mapping between motion capture data and arbitrary target characters. We address one of the main chal- lenges of existing example-based retargeting methods, ...
Capturing and processing human geometry, appearance, and motion is at the core of computer graphics, computer vision, and human-computer interaction. The high complexity of human geometry and motion dynamics, and the high sensitivity of the human visual sy ...
Mechanical figures that mimic human motions continue to entertain us and capture our imagination. Creating such automata requires expertise in motion planning, knowledge of mechanism design, and familiarity with fabrication constraints. Thus, automaton des ...
Despite the large success of games grounded on movement-based interactions the current state of full-body motion capture technologies still prevents the exploitation of precise interactions with complex environments. The first key requirement in the line o ...
Motion LoD (Level of Detail) is a preprocessing technique that generates multiple details of captured motion by eliminating joints. This LoD technique is applied to movie, game or VR environments for the purpose of improving speed of crowd animation. So fa ...
The aim of this thesis is to build a system able to automatically and robustly track human motion in 3–D starting from monocular input. To this end two approaches are introduced, which tackle two different types of motion: The first is useful to analyze ac ...
Virtual prototyping has become an important part during the product development process. The common way to let a user interact with the virtual prototype is the use of a three dimensional virtual mannequin that is controlled by the user. These human figure ...
In this paper we address the problem of creating accurate joint models from real motions while allowing scalability. We propose an automatic method to model, scale, and simulate non-idealized joints from the external motion of markers. We demonstrate the m ...
In this paper we present a new methodology to extract the small error-prone motion recorded during a Computed Tomography (CT) imaging directly from the sinogram. In comparison to the use of the usual reconstructed images, this approach has the advantage to ...
We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically compute candidate poses in individual frames and then link them in a post-processi ...