Camouflage images

Hung Kuo Chu, Wei Hsin Hsu, Niloy J. Mitra, Daniel Cohen-Or, Tien Tsin Wong, Tong Yee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Camouflage images contain one or more hidden figures that remain imperceptible or unnoticed for a while. In one possible explanation, the ability to delay the perception of the hidden figures is attributed to the theory that human perception works in two main phases: feature search and conjunction search. Effective camouflage images make feature based recognition difficult, and thus force the recognition process to employ conjunction search, which takes considerable effort and time. In this paper, we present a technique for creating camouflage images. To foil the feature search, we remove the original subtle texture details of the hidden figures and replace them by that of the surrounding apparent image. To leave an appropriate degree of clues for the conjunction search, we compute and assign new tones to regions in the embedded figures by performing an optimization between two conflicting terms, which we call immersion and standout, corresponding to hiding and leaving clues, respectively. We show a large number of camouflage images generated by our technique, with or without user guidance. We have tested the quality of the images in an extensive user study, showing a good control of the difficulty levels.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2010 Papers, SIGGRAPH 2010
EditorsHugues Hoppe
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450302104
DOIs
Publication statusPublished - 2010 Jul 26
Event37th International Conference and Exhibition on Computer Graphics and Interactive Techniques, SIGGRAPH 2010 - Los Angeles, United States
Duration: 2010 Jul 262010 Jul 30

Publication series

NameACM SIGGRAPH 2010 Papers, SIGGRAPH 2010

Other

Other37th International Conference and Exhibition on Computer Graphics and Interactive Techniques, SIGGRAPH 2010
CountryUnited States
CityLos Angeles
Period10-07-2610-07-30

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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