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  1. Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering (NPAR '11)
  2. Hidden images
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Evaluation of emotional response to non-photorealistic images
Hidden images
Snaxels on a plane
Stylization-based ray prioritization for guaranteed frame rates
TexToons: practical texture mapping for hand-drawn cartoon animations
Dynamic stylized shading primitives
Portrait painting using active templates
XDoG: advanced image stylization with eXtended Difference-of-Gaussians
Towards automatic concept transfer
Towards ground truth in geometric textures
Image and video abstraction by multi-scale anisotropic Kuwahara filtering
Spatio-temporal analysis for parameterizing animated lines
Chromatic shadows for improved perception
Artistic tessellations by growing curves
Animation for ancient tile mosaics
Image simplification and vectorization
Temporal noise control for sketchy animation
Customizing painterly rendering styles using stroke processes

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Hidden images

Content Provider ACM Digital Library
Author Zhang, Song-Hai Hu, Shi-Min Tong, Qiang Martin, Ralph R.
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.
Starting Page 27
Ending Page 34
Page Count 8
File Format PDF
ISBN 9781450309073
DOI 10.1145/2024676.2024681
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-08-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Poisson blending Shape matching Image blending
Content Type Text
Resource Type Article
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