Non-Linear Dynamic Texture Analysis and Synthesis Using Constrained Gaussian Process Latent Variable Model

Linear dynamic system (LDS) has been proposed to model dynamic texture. However, the temporal evolution of dynamic texture is non-linear in general and is not fully captured by the linear model. In this paper, we formulate the dynamic texture learning and synthesis via nonlinear approach. Assuming t...

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Bibliographische Detailangaben

Hauptverfasser:	Guanling Zhou, Nanping Dong, Yuping Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	computer vision dynamic texture Gaussian processes Image sampling Image sequences Layout Machine learning Nonlinear dynamical systems Principal component analysis Proposals sampling method Sampling methods Statistics
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