Inferring repeated pattern composition in near regular textures

Yunliang Cai, George Baciu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Visual patterns generated by color patches, texture regions, and repetitive textons in an image can be organized into higher-level structural forms such as geometric shapes, arrays, and partition groups. Understanding the information content formed by these visual pattern compositions is important both from a theoretical point of view as well as in the robust implementation of many image processing applications. In this paper we propose a new method for building pattern compositions and inferring the high-level structural forms over near regular textures. We exploit the shape geometry of repeated patterns to interpret pairwise connections between patterns and generate the abstract structural form by unifying the local connections. The inferred structure can reflect the organization of multiple repeated patterns and can be used in the classification of texture structures.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages513-516
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: 30 Sep 20123 Oct 2012

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States
CityLake Buena Vista, FL
Period30/09/123/10/12

Keywords

  • Near regular texture
  • Repetitive patterns
  • Shape completion fields

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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