Spacetime constraints revisited

Ngo, Jacqueline; Marks, Joe

doi:10.1145/166117.166160

Cited by 129 publications

(56 citation statements)

References 6 publications

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“…Sampling-based approach for controlling the outcome of physical simulation has been applied to rigid body [Chenney and Forsyth 2000;Twigg and James 2007] and various character animatioins [van de Panne and Fiume 1993;Ngo and Marks 1993;Sims 1994;Liu et al 2010;Sok et al 2007]. For methods involving actively controlled systems, determining a proper sampling space is crucial.…”

Section: Related Workmentioning

confidence: 99%

Synthesis of detailed hand manipulations using contact sampling

Liu

2012

ACM Trans. Graph.

114

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Capturing human activities that involve both gross full-body motion and detailed hand manipulation of objects is challenging for standard motion capture systems. We introduce a new method for creating natural scenes with such human activities. The input to our method includes motions of the full-body and the objects acquired simultaneously by a standard motion capture system. Our method then automatically synthesizes detailed and physically plausible hand manipulation that can seamlessly integrate with the input motions. Instead of producing one "optimal" solution, our method presents a set of motions that exploit a wide variety of manipulation strategies. We propose a randomized sampling algorithm to search for as many as possible visually diverse solutions within the computational time budget. Our results highlight complex strategies human hands employ effortlessly and unconsciously, such as static, sliding, rolling, as well as finger gaits with discrete relocation of contact points.

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Section: Related Workmentioning

confidence: 99%

Synthesis of detailed hand manipulations using contact sampling

Liu

2012

ACM Trans. Graph.

114

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“…The internal motion parameters are then optimized automatically to minimize this function [Witkin and Kass 1988;Cohen 1992;Ngo and Marks 1993]. In this paper, we are using such cost functions to control the animation of video sprites.…”

Section: Related Workmentioning

confidence: 99%

Controlled animation of video sprites

Schödl¹,

Essa²

2002

Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation - SCA '02

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“…The work of Pandy et al [22] represents a significant advance, showing how to optimize parameterized control histories to obtain desired jumping motions for a human model. The work of van de Panne and Fiume [28], Ngo and Marks [21], and Sims [25] further shows how parameter optimization techniques can be applied with the goal of animation in mind, using a variety of different control representations and optimization techniques. The guided optimization technique presented here proceeds onwards from these optimization techniques by giving additional thought to the optimization process and drawing upon some tricks humans use to help themselves learn.…”

Section: Previous Workmentioning

confidence: 99%

“…If motions can be evaluated with a scalar performance index that measures their 'desireability', then the problem of generating a desired motion is converted into one of parameter optimization, as expressed in Figure 1. An alternative to making a function of time is to allow it to be a function of sensory information [21][25] [28]. This can also easily be posed as a parameter optimization problem.…”

Section: Parameter Optimization For Animationmentioning

confidence: 99%

Guided Optimization for Balanced Locomotion

Panne

Lamouret

1995

Eurographics

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Abstract. Teaching simulated creatures how to walk and run is a challenging problem. As with a baby learning to walk, however, the task of synthesizing the necessary muscle control is simplified if an external hand to assist in maintaining balance is provided. A method of using guiding forces to allow progressive learning of control actions for balanced locomotion is presented. The process has three stages. Stage one involves using a "hand of God" to facilitate balance while the basic actions of a desired motion are learned. Stage two reduces the dependence on external guidance, yielding a more balanced motion. Where possible, a third stage removes the external guidance completely to produce a free, balanced motion. The method is applied to obtain walking motions for a simple biped and a bird-like mechanical creature, as well as walking, running, and skipping motions for a human model of realistic proportions.

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Spacetime constraints revisited

Cited by 129 publications

References 6 publications

Synthesis of detailed hand manipulations using contact sampling

Synthesis of detailed hand manipulations using contact sampling

Controlled animation of video sprites

Guided Optimization for Balanced Locomotion

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