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  1. Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering (NPAR '04)
  2. Image fusion for context enhancement and video surrealism
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In-situ speech visualization in real-time interactive installation and performance
Interactive rendering of suggestive contours with temporal coherence
IMPaSTo: a realistic, interactive model for paint
Visual interest and NPR: an evaluation and manifesto
Example-based composite sketching of human portraits
Image and video based painterly animation
Stylized rendering of 3D scanned real world environments
Cartoon rendering of smoke animations
Is that a smile?: gaze dependent facial expressions
Rendering complexity in computer-generated pen-and-ink illustrations
Unsupervised colorization of black-and-white cartoons
Hardware-determined feature edges
Rendering cracks in Batik
Image fusion for context enhancement and video surrealism
Ryan: rendering your animation nonlinearly projected

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Image fusion for context enhancement and video surrealism ( NPAR '04 )

Content Provider ACM Digital Library
Author Ilie, Adrian Raskar, Ramesh Yu, Jingyi
Abstract We present a class of image fusion techniques to automatically combine images of a scene captured under different illumination. Beyond providing digital tools for artists for creating surrealist images and videos, the methods can also be used for practical applications. For example, the non-realistic appearance can be used to enhance the context of nighttime traffic videos so that they are easier to understand. The context is automatically captured from a fixed camera and inserted from a day-time image (of the same scene). Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing. We presents several results in generating surrealistic videos and in increasing the information density of low quality nighttime videos.
Starting Page 85
Ending Page 152
Page Count 68
File Format PDF
ISBN 1581138873
DOI 10.1145/987657.987671
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2004-06-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Surrealism Gradient domain approach Image fusion
Content Type Text
Resource Type Article
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