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Now showing items 61-67 of 67
Environment-aware Real-Time Crowd Control
(The Eurographics Association, 2012)
Real-time crowd control has become an important research topic due to the recent advancement in console game quality and hardware processing capability. The degrees of freedom of a crowd is much higher than that provided ...
Task-driven Posture Optimization for Virtual Characters
(The Eurographics Association, 2012)
This paper presents a generic approach to find optimal postures, including contact positions, for manipulation tasks. It can be used in either the preparation for a task, or the evaluation of the feasibility of a task ...
Precomputed Motion Maps for Unstructured Motion Capture
(The Eurographics Association, 2012)
We present in this paper a solution for extracting high-quality motions from unstructured motion capture databases at interactive rates. The proposed solution is based on automatically-built motion graphs, and offers two ...
c-Space: Time-evolving 3D Models (4D) from Heterogeneous Distributed Video Sources
(The Eurographics Association, 2016)
We introduce c-Space, an approach to automated 4D reconstruction of dynamic real world scenes, represented as time-evolving 3D geometry streams, available to everyone. Our novel technique solves the problem of fusing all ...
Virtual Character Performance From Speech
(ACM SIGGRAPH / Eurographics Association, 2013)
We demonstrate a method for generating a 3D virtual character performance from the audio signal by inferring the acoustic and semantic properties of the utterance. Through a prosodic analysis of the acoustic signal, we ...
Data-driven Glove Calibration for Hand Motion Capture
(ACM SIGGRAPH / Eurographics Association, 2013)
Hand motion is an important component of human motion, playing a central role in communication. However, it is difficult to capture hand motion optically, especially in conjunction with full body motion. Due to a lack of ...
High Fidelity Facial Animation Capture and Retargeting With Contours
(ACM SIGGRAPH / Eurographics Association, 2013)
Human beings are naturally sensitive to subtle cues in facial expressions, especially in areas of the eyes and mouth. Current facial motion capture methods fail to accurately reproduce motions in those areas due to multiple ...