A model validation approach to texture recognition and inpainting

被引：8

作者：

Al-Takrouri, Saleh ^{[1
]}

Savkin, Andrey V. ^{[1
]}

机构：

[1] Univ New S Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 06期

基金：

澳大利亚研究理事会;

关键词：

Texture modeling; Texture recognition; Texture inpainting; Robust control; Model validation; Uncertain systems; Kalman filter; UNCERTAIN SYSTEMS; DYNAMIC TEXTURE; IMAGE;

D O I：

10.1016/j.patcog.2009.12.021

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new approach to texture recognition and inpainting problems is proposed. The approach is based on the robust model validation and state estimation techniques. The proposed solutions require the modeling of textures by using uncertain dynamical systems. We propose a new modeling method which is efficient in terms of computational and memory requirements. The main aspects of the modeling method include system identification and order reduction of marginally stable uncertain discrete-time systems. To demonstrate the results, both static-image textures and video textures (also known as dynamic textures) are considered. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：2054 / 2067

页数：14

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