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  1. Proceedings of the 9th European Conference on Visual Media Production (CVMP '12)
  2. All smiles: automatic photo enhancement by facial expression analysis
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All smiles: automatic photo enhancement by facial expression analysis
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Can our TV robustly understand human gestures?: real-time gesture localization in range data
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Transfer of albedo and local depth variation to photo-textures
Self-content super-resolution for ultra-HD up-sampling
A fast method for global depth-map extraction from natural images
Adaptive line scratch detection in degraded films
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Two-frame stereo photography in low-light settings: a preliminary study
Motion and velocity estimation of rolling shutter cameras

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All smiles: automatic photo enhancement by facial expression analysis

Content Provider ACM Digital Library
Author Shah, Rajvi Kwatra, Vivek
Abstract We propose a framework for automatic enhancement of group photographs by facial expression analysis. We are motivated by the observation that group photographs are seldom perfect. Subjects may have inadvertently closed their eyes, may be looking away, or may not be smiling at that moment. Given a set of photographs of the same group of people, our algorithm uses facial analysis to determine a goodness score for each face instance in those photos. This scoring function is based on classifiers for facial expressions such as smiles and eye-closure, trained over a large set of annotated photos. Given these scores, a best composite for the set is synthesized by (a) selecting the photo with the best overall score, and (b) replacing any low-scoring faces in that photo with high-scoring faces of the same person from other photos, using alignment and seamless composition.
Starting Page 1
Ending Page 10
Page Count 10
File Format PDF
ISBN 9781450313117
DOI 10.1145/2414688.2414689
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-12-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Face enhancement Facial analysis Image composition Image enhancement
Content Type Text
Resource Type Article
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