Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2024676.2024681acmconferencesArticle/Chapter ViewAbstractPublication PagesnparConference Proceedingsconference-collections
research-article

Hidden images

Published: 05 August 2011 Publication History

Abstract

A hidden image is a form of artistic expression in which one or more secondary objects (or scenes) are hidden within a primary image. Features of the primary image, especially its edges and texture, are used to portray a secondary object. People can recognize both the primary and secondary intent in such pictures, although the time taken to do so depends on the prior experience of the viewer and the strength of the clues. Here, we present a system for creating such images. It relies on the ability of human perception to recognize an object, e.g. a human face, from incomplete edge information within its interior, rather than its outline. Our system detects edges of the object to be hidden, and then finds a place where it can be embedded within the scene, together with a suitable transformation for doing so, by optimizing an energy based on edge differences. Embedding is performed using a modified Poisson blending approach, which strengthens matched edges of the host image using edges of the object being embedded. We show various hidden images generated by our system.

Supplementary Material

ZIP File (p27-tong.zip)
Supplemental material.

References

[1]
Ball, L., 2008. Liz's hidden picture puzzles. http://www.hiddenpicturepuzzles.com.
[2]
Belongie, S., Malik, J., and Puzicha, J. 2002. Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 4, 509--522.
[3]
Berg, A. C., Berg, T. L., and Malik, J. 2005. Shape matching and object recognition using low distortion correspondences. In IEEE Conference on Computer Vision and Pattern Recognition, 26--33.
[4]
Chen, T., Cheng, M.-M., Tan, P., Shamir, A., and Hu, S.-M. 2009. Sketch2photo: Internet image montage. ACM Transactions on Graphics (Proc. SIGGRAPH) 28, 5, 124:1--10.
[5]
Chu, H.-K., Hsu, W.-H., Mitra, N. J., Cohen-Or, D., Wong, T.-T., and Lee, T.-Y. 2010. Camouflage images. ACM Transactions on Graphics 29, 3, 51.
[6]
Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J. 1995. Active shape models: their training and application. Computer Vision and Image Understanding 61, 1, 38--59.
[7]
Fang, H., and Hart, J. 2004. Textureshop: texture synthesis as a photograph editing tool. ACM Transactions on Graphics (Proc. SIGGRAPH) 23, 3, 354--359.
[8]
Farbman, Z., Hoffer, G., Lipman, Y., Cohen-Or, D., and Lischinski, D. 2009. Coordinates for instant image cloning. ACM Transactions on Graphics 28, 3 (August), 67.
[9]
Finkelstein, A., and Range, M. 1998. Image mosaics. Artistic Imaging and Digital Typography, LNCS 1375.
[10]
Huang, L., and Pashler, H. 2007. A boolean map theory of visual attention. Psychological Review 114, 599--631.
[11]
Huang, L., Treisman, A., and Pashler, H. 2007. Characterizing the limits of human visual awareness. Science 317, 5839, 823.
[12]
Huttenlocher, D. P., Klanderman, G. A., and Rucklidge, W. A. 1993. Comparing images using the hausdorff distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 15, 9, 850--863.
[13]
Jia, J., Sun, J., Tang, C.-K., and Shum, H.-Y. 2006. Drag-and-drop pasting. ACM Transactions on Graphics 25, 3, 631--637.
[14]
Kim, J., and Pellacini, F. 2002. Jigsaw image mosaics. In Proc. ACM SIGGRAPH, 657--664.
[15]
Latecki, L. J., Lakamper, R., and Eckhardt, U. 2000. Shape descriptors for non-rigid shapes with a single closed contour. In IEEE Conference on Computer Vision and Pattern Recognition, 424--429.
[16]
Lowe, D. 2003. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 20, 91--110.
[17]
Mitra, N. J., Chu, H.-K., Lee, T.-Y., Wolf, L., Yeshurun, H., and Cohen-Or, D. 2009. Emerging images. ACM Transactions on Graphics (Proc. SIGGRAPH) 28, 5, 1--8.
[18]
Oliva, A., Torralba, A. B., and Schyns, P. G. 2006. Hybrid images. ACM Transactions on Graphics 25, 527--532.
[19]
Pérez, P., Gangnet, M., and Blake, A. 2003. Poisson image editing. ACM Transactions on Graphics (Proc. SIGGRAPH) 22, 3, 313--318.
[20]
Ritter, L., Li, W., Curless, B., Agrawala, M., and Salesin, D. 2006. Painting with texture. In Eurographics Symposium on Rendering.
[21]
Silvers, R., and Hawley, M. 2000. Photomosaics. Henry Holt.
[22]
Treisman, A., and Gelade, G. 1980. A feature-integration theory of attention. Cognitive Psychology 12, 1 (January), 97--136.
[23]
Treisman, A. 1988. Features and objects: the fourteenth bartlett memorial lecture. Quarterly Journal of Experimental Psychology 40A, 201--236.
[24]
Veltkamp, R. C., and Hagedoorn, M. 2001. State of the art in shape matching. Springer.
[25]
Vetter, T., Jones, M. J., and Poggio, T. 1997. A bootstrapping algorithm for learning linear models of object classes. In IEEE Conference on Computer Vision and Pattern Recognition, 40--46.
[26]
Wandell, B. 1995. Foundations of Vision. Sinauer Associates Inc.
[27]
Wolfe, J. M. 1994. Guided search 2.0: A revised model of visual search. Psychonomic Bulletin and Review 1, 2, 202--238.
[28]
Xu, J., and Kaplan, C. S. 2007. Calligraphic packing. In Proc. Graphics Interface, 43--50.
[29]
Yoon, J., Lee, I., and Kang, H. 2008. A hidden-picture puzzles generator. Computer Graphics Forum 27, 1869--1877.

Cited By

View all
  • (2024)Path Finding via Shape Context Matching2024 16th International Conference on Advanced Computational Intelligence (ICACI)10.1109/ICACI60820.2024.10537007(55-64)Online publication date: 16-May-2024
  • (2023)Applying Quaternions to Recognize Hidden Details in Images: Rothko as a Case StudyMathematical and Computational Applications10.3390/mca2803006628:3(66)Online publication date: 9-May-2023
  • (2021)Large-capacity Image Steganography Based on Invertible Neural Networks2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01067(10811-10820)Online publication date: Jun-2021
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
NPAR '11: Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering
August 2011
234 pages
ISBN:9781450309073
DOI:10.1145/2024676
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 August 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Poisson blending
  2. hidden images
  3. image blending
  4. shape matching

Qualifiers

  • Research-article

Funding Sources

Conference

SBIM/NPAR/CAe 2011
Sponsor:

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)12
  • Downloads (Last 6 weeks)0
Reflects downloads up to 28 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Path Finding via Shape Context Matching2024 16th International Conference on Advanced Computational Intelligence (ICACI)10.1109/ICACI60820.2024.10537007(55-64)Online publication date: 16-May-2024
  • (2023)Applying Quaternions to Recognize Hidden Details in Images: Rothko as a Case StudyMathematical and Computational Applications10.3390/mca2803006628:3(66)Online publication date: 9-May-2023
  • (2021)Large-capacity Image Steganography Based on Invertible Neural Networks2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01067(10811-10820)Online publication date: Jun-2021
  • (2020)3D computational modeling and perceptual analysis of kinetic depth effectsComputational Visual Media10.1007/s41095-020-0180-x6:3(265-277)Online publication date: 13-Aug-2020
  • (2019)Irregular pebble mosaics with sub-pebble detailProceedings of the 8th ACM/Eurographics Expressive Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering10.2312/exp.20191084(133-141)Online publication date: 5-May-2019
  • (2019)Structure Importance-Aware Hidden Images2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT)10.1109/ICAIT.2019.8935909(36-42)Online publication date: Oct-2019
  • (2019)Discernible image mosaic with edge-aware adaptive tilesComputational Visual Media10.1007/s41095-019-0130-75:1(45-58)Online publication date: 8-Apr-2019
  • (2017)Generating Ambiguous Figure-Ground ImagesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2016.253533123:5(1534-1545)Online publication date: 1-May-2017
  • (2016)Synthesizing Emerging Images from PhotographsProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2967304(660-664)Online publication date: 1-Oct-2016
  • (2015)Recognition‐Difficulty‐Aware Hidden Images Based on Clue‐MapComputer Graphics Forum10.1111/cgf.1277735:8(80-94)Online publication date: 2-Nov-2015
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media