Results 181 to 190 of about 369,007 (214)
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Discretization effects in the fundamental matrix computation

2012 19th IEEE International Conference on Image Processing, 2012
A polyhedron represents the solution set of an approximate system modeling the epipolar constraints. We introduce a new robust approach for the computation of the fundamental matrix taking into account the intrinsic errors involved in the discretization process.
openaire   +1 more source

Highest Accuracy Fundamental Matrix Computation

2007
We compare algorithms for fundamental matrix computation, which we classify into "a posteriori correction", "internal access", and "external access". Doing experimental comparison, we show that the 7-parameter Levenberg-Marquardt (LM) search and the extended FNS (EFNS) exhibit the best performance and that additional bundle adjustment does not increase
Yasuyuki Sugaya, Ken-ichi Kanatani
openaire   +1 more source

Randomized Acceleration of Fundamental Matrix Computations

2002
We accentuate the power of several known effective methods by combining them together and adding some novel techniques. As a result, we substantially improve the known record randomized bit-operation complexity estimates for various fundamental computations with integer matrices.
openaire   +1 more source

Fundamental Matrix

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

Fundamental fractional exponential matrix: New computational formulae and electrical applications

AEU - International Journal of Electronics and Communications, 2021
Zeyad Al-Zhour
exaly  

Kruppa's equations derived from the fundamental matrix

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
R I Hartley
exaly  

Overall view regarding fundamental matrix estimation

Image and Vision Computing, 2003
Joaquim Salvi
exaly  

Estimating the fundamental matrix via constrained least-squares: a convex approach

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
Graziano Chesi   +2 more
exaly  

Estimating the fundamental matrix based on least absolute deviation

Neurocomputing, 2011
Menglong Yang, Yiguang Liu
exaly  

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