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3D projection

Known as: Perspective transform, Projection matrix (computer graphics), Camera transform 
3D projection is any method of mapping three-dimensional points to a two-dimensional plane. As most current methods for displaying graphical data are… Expand
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Papers overview

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Highly Cited
2013
Highly Cited
2013
Recognizing 3D objects in the presence of noise, varying mesh resolution, occlusion and clutter is a very challenging task. This… Expand
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Highly Cited
2004
Highly Cited
2004
Affine projection algorithms are useful adaptive filters whose main purpose is to speed the convergence of LMS-type filters. Most… Expand
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Highly Cited
2002
Highly Cited
2002
Nonlinear model predictive control has become increasingly popular in the chemical process industry. Highly accurate models can… Expand
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Highly Cited
2000
Highly Cited
2000
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian… Expand
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Highly Cited
1999
Highly Cited
1999
  • David G. Lowe
  • Proceedings of the Seventh IEEE International…
  • 1999
  • Corpus ID: 5258236
An object recognition system has been developed that uses a new class of local image features. The features are invariant to… Expand
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Highly Cited
1999
Highly Cited
1999
As the number of spectral bands of high-spectral resolution data increases, the ability to detect more detailed classes should… Expand
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Highly Cited
1997
Highly Cited
1997
As the field of view of a picture is much smaller than our own visual field of view, it is common to paste together several… Expand
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Highly Cited
1996
Highly Cited
1996
Two view-based object recognition algorithms are compared: (1) a heuristic algorithm based on oriented filters, and (2) a support… Expand
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Highly Cited
1993
Highly Cited
1993
Several common systems satisfy some but not all of the VR definition above. Flight simulators provide vehicle tracking, not head… Expand
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Highly Cited
1993
Highly Cited
1993
Metric projection operators can be defined in similar wayin Hilbert and Banach spaces. At the same time, they differ… Expand
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