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Camouflage images

Published: 26 July 2010 Publication History

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.

Supplementary Material

JPG File (tp104-10.jpg)
Supplemental material. (051.zip)
ci_sig10.mov - paper video ci results.pdf - paper results ci user study images.pdf - Images of user study I and II ci user study program.zip - Installation file for user study I and II (Standalone version)
MP4 File (tp104-10.mp4)

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  • (2024)Camouflaged Object Detection That Does Not Require Additional PriorsApplied Sciences10.3390/app1406262114:6(2621)Online publication date: 21-Mar-2024
  • (2024)Adaptive Query Selection for Camouflaged Instance SegmentationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680749(6598-6606)Online publication date: 28-Oct-2024
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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 29, Issue 4
July 2010
942 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1778765
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 July 2010
Published in TOG Volume 29, Issue 4

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Cited By

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  • (2025)DPSNet: A Detail Perception Synergistic Network for Camouflaged Object DetectionIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.349718174(1-14)Online publication date: 2025
  • (2024)Camouflaged Object Detection That Does Not Require Additional PriorsApplied Sciences10.3390/app1406262114:6(2621)Online publication date: 21-Mar-2024
  • (2024)Adaptive Query Selection for Camouflaged Instance SegmentationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680749(6598-6606)Online publication date: 28-Oct-2024
  • (2024)Semi-supervised Camouflaged Object Detection from Noisy DataProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680645(4766-4775)Online publication date: 28-Oct-2024
  • (2024)Diffusion Illusions: Hiding Images in Plain SightACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657500(1-11)Online publication date: 13-Jul-2024
  • (2024)CamoFormer: Masked Separable Attention for Camouflaged Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2024.343856546:12(10362-10374)Online publication date: 1-Dec-2024
  • (2024)Boundary-Guided Fusion of Multi-Level Features Network for Camouflaged Object Detection2024 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN60899.2024.10651185(1-7)Online publication date: 30-Jun-2024
  • (2024)Hierarchically Aggregated Identification Transformer Network for Camouflaged Object Detection2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10687759(1-6)Online publication date: 15-Jul-2024
  • (2024)Localisation Region Based Generalised Attention Camouflage Object Detection Network2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)10.1109/ICCASIT62299.2024.10827870(744-748)Online publication date: 23-Oct-2024
  • (2024)Edge Attention Learning for Efficient Camouflaged Object DetectionICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP48485.2024.10448139(5230-5234)Online publication date: 14-Apr-2024
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