Periodic motion synthesis and Fourier compression

Shinya, Mikio; Mori, Takeaki; Osumi, Noriko

doi:10.1002/(sici)1099-1778(199804/06)9:2<95::aid-vis177>3.0.co;2-t

Cited by 7 publications

(5 citation statements)

References 4 publications

(5 reference statements)

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“…However, finding a periodic solution using a direct method such as Euler's method not only takes time but also is not necessarily stable. Thus, in this research the steady solution is found using the superposition method [6].…”

Section: Periodic Solutionmentioning

confidence: 99%

Dynamic texture: A physically based 2D animation system

Aoki

Shinya

Tsutsuguchi

2006

Systems & Computers in Japan

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SUMMARYThe authors developed a method (the Dynamic Texture method) to create realistic texture images for the purpose of creating CG animations. In their method, a skeleton representing a dynamic framework is specified for the given image. Dynamic simulation is then applied to this, and realistic movement of the skeleton can be created. By deforming the original image in concert with the skeleton, realistic animations can be created. The way in which this method is most different from conventional approaches is that a 3D model is not required. In other words, a characteristic of this method is that realistic animations can be created without the involved effort of 3D modeling. The authors used trees and grass swaying in the wind and a person walking as example objects and performed experiments that yielded good results.

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Section: Periodic Solutionmentioning

confidence: 99%

Dynamic texture: A physically based 2D animation system

Aoki

Shinya

Tsutsuguchi

2006

Systems & Computers in Japan

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“…In a similar way, we synthesize stochastic wind fields [Shinya and Fournier 1992;Stam and Fiume 1993] by applying a different spectrum filter. 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.…”

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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“…x (k) ) H T x (k+1) + G T d (k+1) (6) x ˆ(k) compression, two key components are furnished for each compressed spectrum. The first component is a reduced set of wavelet coefficients.…”

Section: Theorymentioning

confidence: 99%

“…FT has been widely used for data compression. , FT is useful for signal processing, such as convolution, correlation, and smoothing. , A two-dimensional Fourier compression method was devised and applied to IMS data in both the drift time and sample acquisition dimensions …”

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confidence: 99%

Nonlinear Wavelet Compression of Ion Mobility Spectra from Ion Mobility Spectrometers Mounted in an Unmanned Aerial Vehicle

et al. 2004

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Linear and nonlinear wavelet compression of ion mobility spectrometry (IMS) data are compared and evaluated. IMS provides low detection limits and rapid response for many compounds. Nonlinear wavelet compression of ion mobility spectra reduced the data to 4-5% of its original size, while eliminating artifacts in the reconstructed spectra that occur with linear compression, and the root-mean-square reconstruction error was 0.17-0.20% of the maximum intensity of the uncompressed spectra. Furthermore, nonlinear wavelet compression precisely preserves the peak location (i.e., drift time). Small variations in peak location may occur in the reconstructed spectra that were linearly compressed. A method was developed and evaluated for optimizing the compression. The compression method was evaluated with in-flight data recorded from ion mobility spectrometers mounted in an unmanned aerial vehicle (UAV). Plumes of dimethyl methylphosphonate were disseminated for interrogation by the UAV-mounted IMS system. The daublet 8 wavelet filter exhibited the best performance for these evaluations.

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Periodic motion synthesis and Fourier compression

Cited by 7 publications

References 4 publications

Dynamic texture: A physically based 2D animation system

Dynamic texture: A physically based 2D animation system

Animating pictures with stochastic motion textures

Nonlinear Wavelet Compression of Ion Mobility Spectra from Ion Mobility Spectrometers Mounted in an Unmanned Aerial Vehicle

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