Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System

Lu Yuan*, Fang Wen, Ce Liu, Heung Yeung Shum

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportBook Chapterpeer-review

69 Citations (Scopus)

Abstract

Dynamic texture can be defined as a temporally continuous and infinitely varying stream of images that exhibit certain temporal statistics. Linear dynamic system (LDS) represented by the state-space equation has been proposed to model dynamic texture[12]. LDS can be used to synthesize dynamic texture by sampling the system noise. However, the visual quality of the synthesized dynamic texture using noise-driven LDS is often unsatisfactory. In this paper, we regard the noise-driven LDS as an open-loop control system and analyze its stability through its pole placement. We show that the noise-driven LDS can produce good quality dynamic texture if the LDS is oscillatory. To deal with an LDS not oscillatory, we present a novel approach, called closedloop LDS (CLDS) where feedback control is introduced into the system. Using the succeeding hidden states as an input reference signal, we design a feedback controller based on the difference between the current state and the reference state. An iterative algorithm is proposed to generate dynamic textures. Experimental results demonstrate that CLDS can produce dynamic texture sequences with promising visual quality.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTomáš Pajdla, Jiří Matas
PublisherSpringer Verlag
Pages603-616
Number of pages14
ISBN (Print)3540219838, 9783540219835
DOIs
Publication statusPublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3022
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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