Camouflage Images
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AbstractCamouflage 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.
All Author(s) ListChu HK, Hsu WH, Mitra NJ, Cohen-Or D, Wong TT, Lee TY
Journal nameACM Transactions on Graphics
Detailed descriptionArticle 51.
Year2010
Month7
Day1
Volume Number29
Issue Number4
PublisherAssociation for Computing Machinery (ACM)
ISSN0730-0301
eISSN1557-7368
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Software Engineering; COMPUTER SCIENCE, SOFTWARE ENGINEERING

Last updated on 2020-26-03 at 00:50