Autostereogram

Known as: Single image stereography, Singleimages, Single imaging 
An autostereogram is a single-image stereogram (SIS), designed to create the visual illusion of a three-dimensional (3D) scene from a two-dimensional… (More)
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Topic mentions per year

Topic mentions per year

1948-2017
020040060019482016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping… (More)
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Highly Cited
2011
Highly Cited
2011
As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration… (More)
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Highly Cited
2011
Highly Cited
2011
While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different… (More)
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Highly Cited
2010
Highly Cited
2010
This paper presents a new approach to single-image superresolution, based upon sparse signal representation. Research on image… (More)
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Highly Cited
2010
Highly Cited
2010
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that… (More)
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Highly Cited
2004
Highly Cited
2004
We investigate texture classification from single images obtained under unknown viewpoint and illumination. A statistical… (More)
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Highly Cited
2003
Highly Cited
2003
This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a… (More)
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Highly Cited
1999
Highly Cited
1999
  • Laurenz Wiskott1z, Jean-Marc Fellous2x
  • 1999
We present a system for recognizing human faces from single images out of a large database containing one image per person. The… (More)
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Highly Cited
1998
Highly Cited
1998
In this paper we present a set of efficient image based rendering methods capable of rendering multiple frames per second on a PC… (More)
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Highly Cited
1992
Highly Cited
1992
In this paper, we describe a method for finding the pose of an object from a single image. We assume that we can detect and match… (More)
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