2.5D

Known as: Pseudo-3D, 21/2D, 2½-D 
Common in video games, these projections have also been useful in geographic visualization (GVIS) to help understand visual-cognitive spatial… (More)
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3D computer graphicsA.R.E.S. Extinction AgendaAlan MacEachrenAtari
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Papers overview

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Highly Cited
2017
Highly Cited
2017
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible… (More)
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Highly Cited
2015
Highly Cited
2015
3D ShapeNets: A deep representation for volumetric shapes
3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic… (More)
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Highly Cited
2014
Highly Cited
2014
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
Automated Lymph Node (LN) detection is an important clinical diagnostic task but very challenging due to the low contrast of… (More)
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2013
2013
Double-Sided 2.5D Graphics
This paper introduces double-sided 2.5D graphics, aiming at enriching the visual appearance when manipulating conventional 2D… (More)
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2012
2012
2.5D building modeling by discovering global regularities
We introduce global regularities in the 2.5D building modeling problem, to reflect the orientation and placement similarities… (More)
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Highly Cited
2012
Highly Cited
2012
Action Recognition with Exemplar Based 2.5D Graph Matching
This paper deals with recognizing human actions in still images. We make two key contributions. (1) We propose a novel, 2.5D… (More)
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Highly Cited
2012
Highly Cited
2012
2.5D and 3D technology challenges and test vehicle demonstrations
Three-dimensional (3D) chip integration with through-silicon-vias (TSV's) can enable system benefits of enhanced performance… (More)
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Highly Cited
2011
Highly Cited
2011
Communication-Optimal Parallel 2.5D Matrix Multiplication and LU Factorization Algorithms
Extra memory allows parallel matrix multiplication to be done with asymptotically less communication than Cannon’s algorithm and… (More)
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Highly Cited
2009
Highly Cited
2009
Local feature extraction and matching on range images: 2.5D SIFT
Article history: Received 23 May 2008 Accepted 10 June 2009 Available online 18 August 2009 
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Highly Cited
2006
Highly Cited
2006
Matching 2.5D face scans to 3D models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's… (More)
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