Dynamic texture: A physically based 2D animation system

Aoki, Masakatsu; Shinya, Mikio; Tsutsuguchi, Ken

doi:10.1002/scj.10200

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The modal analysis method, widely known in oscillation analysis, has been used by Aoki et al [8] to simulate bamboo motion.Wei et al [9] model wind flow and object interactions within such flows using the Lattice-Boltzman method (LBM) used in computational fluid dynamics.To couple the wind motion with the deformation and motion of the objects, they use the momentum-exchange method where the force on the object is computed as the net momentum exchanged with fluid nodes. Ling [10] develops a model of cloth animation based on wind flow.…”

Section: Wind Models and Stochastic Motionmentioning

confidence: 99%

Experiments with Stochastic Processes: Façade Subdivision based on Wind Motion

Datta

Hanafin

Pitts

2009

International Journal of Architectural Computing

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Constraint based tools for architectural design exploration need to satisfy aesthetic and functional criteria as well as combine discrete and continuous modes of exploration. In this paper, we examine the possibilities for stochastic processes in design space exploration. Specifically, we address the application of a stochastic wind motion model to the subdivision of an external building envelope into smaller discrete components. Instead of deterministic subdivision constraints, we introduce explicit uncertainty into the system of subdivision.To address these aims, we develop a model of stochastic wind motion; create a subdivision scheme that is governed by the wind model and explore a design space of a façade subdivision problem. A discrete version of the façade, composed of light strips and panels, based on the bamboo elements deformed by continuous wind motion, is developed. The results of the experiments are presented in the paper. 391Experiments with stochastic processes: Façade subdivision based on wind motion

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Section: Wind Models and Stochastic Motionmentioning

confidence: 99%

Experiments with Stochastic Processes: Façade Subdivision based on Wind Motion

Datta

Hanafin

Pitts

2009

International Journal of Architectural Computing

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“…When applying the wind field to trees, since the force is oscillatory in nature, the corresponding motions are also periodic and can be solved more robustly and efficiently in the frequency domain [Stam 1997;Shinya et al 1998]. Aoki et al [1999] coupled physically-based animations of plants with image morphing techniques as an efficient alternative to expensive physically-based plant simulation and synthesis. However, they only demonstrate their concept on synthetic images.…”

Section: Related Workmentioning

confidence: 99%

Animating pictures with stochastic motion textures

et al. 2005

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a) Japanese Temple (b) Harbor (c) Boat Studio (d) Argenteuil (e) Sunflowers Figure 1 Sample input images we animate using our technique. The first two pictures are photographs of a Japanese Temple (a) and a harbor (b). The paintings shown in (c) and (d) are Claude Monet's The Boat Studio and The Bridge at Argenteuil. We also apply our method to Van Gogh's Sunflower (e) to animate the flowers. (The last three paintings are courtesy of WebMuseum, AbstractIn this paper, we explore the problem of enhancing still pictures with subtly animated motions. We limit our domain to scenes containing passive elements that respond to natural forces in some fashion. We use a semi-automatic approach, in which a human user segments the scene into a series of layers to be individually animated. Then, a "stochastic motion texture" is automatically synthesized using a spectral method, i.e., the inverse Fourier transform of a filtered noise spectrum. The motion texture is a time-varying 2D displacement map, which is applied to each layer. The resulting warped layers are then recomposited to form the animated frames. The result is a looping video texture created from a single still image, which has the advantages of being more controllable and of generally higher image quality and resolution than a video texture created from a video source. We demonstrate the technique on a variety of photographs and paintings.

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High Resolution Animated Scenes from Stills

Lin

Wang

Wang³

et al. 2007

IEEE Trans. Visual. Comput. Graphics

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Current techniques for generating animated scenes involve either videos (whose resolution is limited) or a single image (which requires a significant amount of user interaction). In this paper, we describe a system that allows the user to quickly and easily produce a compelling-looking animation from a small collection of high resolution stills. Our system has two unique features. First, it applies an automatic partial temporal order recovery algorithm to the stills in order to approximate the original scene dynamics. The output sequence is subsequently extracted using a second-order Markov Chain model. Second, a region with large motion variation can be automatically decomposed into semiautonomous regions such that their temporal orderings are softly constrained. This is to ensure motion smoothness throughout the original region. The final animation is obtained by frame interpolation and feathering. Our system also provides a simple-to-use interface to help the user to fine-tune the motion of the animated scene. Using our system, an animated scene can be generated in minutes. We show results for a variety of scenes.

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Dynamic texture: A physically based 2D animation system

Cited by 3 publications

References 11 publications

Experiments with Stochastic Processes: Façade Subdivision based on Wind Motion

Experiments with Stochastic Processes: Façade Subdivision based on Wind Motion

Animating pictures with stochastic motion textures

High Resolution Animated Scenes from Stills

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