Video motion analysis for the synthesis of dynamic cues and Futurist art

Collomosse, John; Hall, Peter M.

doi:10.1016/j.gmod.2006.05.003

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…This effect is referred to as anticipation or snap in the animation. The automated introduction of snap into video objects was described in [16], learning an articulated model of the moving object e.g. a walking person, by observing the rigidity and inter-occlusion of moving parts in that object.…”

Section: Segmentation For Motion Stylizationmentioning

confidence: 99%

Temporally Coherent Video Stylization

Bénard

Thollot

Collomosse

2012

Computational Imaging and Vision

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Section: Segmentation For Motion Stylizationmentioning

confidence: 99%

Temporally Coherent Video Stylization

Bénard

Thollot

Collomosse

2012

Computational Imaging and Vision

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“…Mi et al [2009] proposed a part-based computational method for the abstraction of 2D shapes. Specific abstract art styles have also been widely studied, including mosaics and collages [Finkelstein and Range 1998;Klein et al 2002;Smith et al 2005;Gal et al 2007;Orchard and Kaplan 2008], Escherization [Kaplan and Salesin 2004], cubism [Klein et al 2001;Collomosse and Hall 2003], surrealism by image fusion [Raskar et al 2004], futurism by motion emphasis cues [Collomosse and Hall 2006] and abstract texture synthesis [Morel et al 2006]. Besides, Lee et al [2006] developed a fluid dynamics based system for creating drip paintings of Pollock's style.…”

Section: Previous Workmentioning

confidence: 99%

Sisley the abstract painter

Zhao

Zhu

2010

Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering - NPAR 10

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We present an interactive abstract painting system named Sisley. Sisley works upon the psychological principle [Berlyne 1971] that abstract arts are often characterized by their greater perceptual ambiguities than photographs, which tend to invoke moderate mental efforts of the audience for interpretation, accompanied with subtle aesthetic pleasures. Given an input photograph, Sisley decomposes it into a hierarchy/tree of its constituent image components (e.g., regions, objects of different categories) with interactive guidance from the user, then automatically generates corresponding abstract painting images, with increased ambiguities of both the scene and individual objects at desired levels. Sisley consists of three major working parts: (1) an interactive image parser executing the tasks of segmentation, labeling, and hierarchical organization, (2) a painterly rendering engine with abstract operators for transferring the image appearance, and (3) a numerical ambiguity computation and control module of servomechanism. With the help of Sisley, even an amateur user can create abstract paintings from photographs easily in minutes. We have evaluated the rendering results of Sisley using human experiments, and verified that they have similar abstract effects to original abstract paintings by artists.

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