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Chapter and Conference Paper
Virtually Cloning Real Human with Motion Style
Our goal is to capture style from real human motion so it can be rendered with a virtual agent that represents this human user. We used expressivity parameters to describe motion style. As a first contribution...
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Chapter and Conference Paper
Real-Time 3D Motion Capture by Monocular Vision and Virtual Rendering
Avatars in networked 3D virtual environments allow users to interact over the Internet and to get some feeling of virtual telepresence. However, avatar control may be tedious. Motion capture systems based on 3...
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Chapter and Conference Paper
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion capture by learning human ges...
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Chapter and Conference Paper
Robust 3D Face Tracking on Unknown Users with Dynamical Active Models
The Active Appearance Models [1] and the derived Active Models (AM) [4] allow to robustly track the face of a single user that was previously learnt, but works poorly with multiple or unknown users. Our resear...
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Chapter and Conference Paper
Region-Based vs. Edge-Based Registration for 3D Motion Capture by Real Time Monoscopic Vision
3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively optimizing the match between p...
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Chapter and Conference Paper
Multimodal Human Machine Interactions in Virtual and Augmented Reality
Virtual worlds are develo** rapidly over the Internet. They are visited by avatars and staffed with Embodied Conversational Agents (ECAs). An avatar is a representation of a physical person. Each person cont...
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Chapter and Conference Paper
GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision
This paper presents briefly the state of the art of accelerating image processing with graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an open source multi-platform library ...