A model validation approach to texture recognition and inpainting

Authors:
Saleh Al-Takrouri;Andrey V. Savkin
Affiliations:
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia;School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia
Venue:
Pattern Recognition
Year:
2010

Citing 17
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Abstract

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.