Tomasi–Kanade factorization

Known as: Tomasi, Tomasi-Kanade factorization 
The Tomasi–Kanade factorization is the seminal work by Carlo Tomasi and Takeo Kanade in the early 1990s. It charted out an elegant and simple… (More)
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Topic mentions per year

Topic mentions per year

1970-2017
010203019702017

Papers overview

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2012
2012
Traditionally two frames are used to estimate the 3-D structure, while recent approaches have made use of a long sequence of… (More)
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2005
2005
Reconstruction of moving rigid objects is a widely applicable and challenging computer vision task. In this paper, we give an… (More)
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Highly Cited
2003
Highly Cited
2003
We present a new, single-pass nonlinear filter for edge-preserving smoothing and visual detail removal for N dimensional signals… (More)
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Highly Cited
2002
Highly Cited
2002
Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this… (More)
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Highly Cited
2000
Highly Cited
2000
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video… (More)
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Highly Cited
1998
Highly Cited
1998
This paper addresses robust feature tracking. We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic… (More)
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Highly Cited
1996
Highly Cited
1996
This paper describes a family of factorization-based algorithms that recover 3D projective structure and motion from multiple… (More)
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Highly Cited
1994
Highly Cited
1994
The factorization method, first developed by Tomasi and Kanade, recovers both the shape of an object and its motion from a… (More)
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Highly Cited
1994
Highly Cited
1994
We present a sequential factorization method for recovering the three-dimensional shape of an object and the motion of the camera… (More)
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Highly Cited
1993
Highly Cited
1993
In this paper, we show how relative 3D reconstruction from multiple uncali brated images can be achieved through reference points… (More)
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