With the advancement of motion tracking hardware such as the Microsoft Kinect, synthesizing human-like characters with real-time captured movements becomes increasingly important. Traditional kinematics and dynamics a...
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ISBN:
(纸本)9781450314695
With the advancement of motion tracking hardware such as the Microsoft Kinect, synthesizing human-like characters with real-time captured movements becomes increasingly important. Traditional kinematics and dynamics approaches perform sub-optimally when the captured motion is noisy or even incomplete. In this paper, we proposed a unified framework to control physically simulated characters with live captured motion from Kinect. Our framework can synthesize any posture in a physical environment using external forces and torques computed by a PD controller. The major problem of Kinect is the incompleteness of the captured posture, with some degree of freedom (DOF) missing due to occlusions and noises. We propose to search for a best matched posture from a motion database constructed in a dimensionality reduced space, and substitute the missing DOF to the live captured data. Experimental results show that our method can synthesize realistic character movements from noisy captured motion. The proposed algorithm is computationally efficient and can be applied to a wide variety of interactive virtual reality applications such as motion-based gaming, rehabilitation and sport training. Copyright 2012 acm.
Simulation of deformable objects has become indispensable in many virtual reality applications. Linear finite element algorithms are frequently applied in interactive physics simulation in order to ensure computationa...
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ISBN:
(纸本)9781450314695
Simulation of deformable objects has become indispensable in many virtual reality applications. Linear finite element algorithms are frequently applied in interactive physics simulation in order to ensure computational efficiency. However, there exists a variety of situations in which higher order simulation accuracy is expected to improve physical behaviors of deformable objects to match their real-world counterparts. For example in the context of virtual surgery, interactive surgical manipulations mandate algorithmic requirements to maintain both interactive frame rates and simulation accuracy, presenting major challenges in simulation methods. In this paper, we present an interactive system for efficient finite element based simulation of hyperplastic solids with more accurate physics behaviors compared with that of standard corotational methods. Our approach begins with a physics model to mitigate drawbacks of the corotational linear elasticity in preserving energy and momenta. A new damping model is presented which takes into account the differential of rotation to compensate the loss of momenta due to rotations. Thus, more accurate simulations can be achieved with this new model, whereas standard corotational methods using rotated damping to handle energy dissipation does not preserve momenta. We then present a real time simulation framework for computing finite element based deformable solids with full capability allowing complex objects to collide and interact with each other. A constrained system is also provided for robust control and the ease of use the simulation system. We demonstrate the parallel implementation to enable realistic and stable physics behaviors of large deformations capable of handling unpredictable user inputs in interactive virtual environments. The implementation details and insights on practical considerations in implementation such as our experience in parallel computation of the physics for mesh-based finite element objects would b
We present an algorithm for computing [X, Y], i.e., all homotopy classes of continuous maps X → Y, where X, Y are topological spaces given as finite simplicial complexes, Y is (d - 1)-connected for some d ≥ 2 (for e...
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Personalization is viewed as a potential solution to the "information overload" problem. In contrast, serendipity is a natural part of human information seeking process that can lead to unexpected and useful...
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We describe the design, implementation and evaluation of a novel multi-agent scenario generation framework for interactive virtual reality simulations towards preventive medicine education. Our scenario generation fra...
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Reliably distinguishing patients with verbal impairment due to brain damage, e.g. aphasia, cognitive communication disorder (CCD), from healthy subjects is an important challenge in clinical practice. A widely-used me...
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The automatic generation of instruction set extensions (ISEs) to provide application-specific acceleration for embedded processors has been a productive area of research in recent years. The use of automatic algorithm...
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Since web applications are easily accessible, and often store a large amount of sensitive user information, they are a common target for attackers. In particular, attacks that focus on input validation vulnerabilities...
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