Results 171 to 180 of about 65,475 (209)

Hausdorff Distance for Iris Recognition

2007 IEEE 22nd International Symposium on Intelligent Control, 2007
Iris is a promising biometric due to its high reliability and stability. In this paper, a novel iris recognition technique based on Hausdorff distance is proposed. A modified partial Hausdorff distance (a dissimilarity measure) is computed directly between the normalized iris images for comparison and no feature is extracted explicitly.
Natarajan Sudha, Yung Ho Kenny Wong
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Calculating the Hausdorff distance between curves

Information Processing Letters, 1997
E. Belogay, Carlos Cabrelli, Ursula Molter, Ron Shonkwiler   +3 more
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Hausdorff distance for target detection

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
The paper presents a system for target detection in static images based on the Hausdorff distance. The Hausdorff distance can determine the degree of resemblance between an image and a model. As such, the proposed system uses this distance as a cost function for the template matching task.
GASTALDO, PAOLO, ZUNINO, RODOLFO
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Hausdorff distance and image processing

Russian Mathematical Surveys, 2004
This paper based on the report at the conference is dedicated to the centenary of the birth of Kolmogorov. Sendov gives the brief exposition of the theory of approximations of functions of two variables with the Hausdorff metric. He considers images as bounded functions on the unit square and argues that the Hausdorff distance is more natural to ...
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Fourier inversion and the Hausdorff distance

Statistica Neerlandica, 2002
This paper continues research done by F.H. Ruymgaart and the author. For a function f on Rd we consider its Fourier transform Ff and the functions fM(M>0) derived from Ff by the formula fM(x)=(F(εM·Ff))(−x);, where the εM are suitable integrable functions tending to 1 pointwise as M→∞. It was shown earlier that, relative to a metric dH, analogous to
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Measuring Closeness of Graphs—The Hausdorff Distance

Bulletin of the Malaysian Mathematical Sciences Society, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Banič, Iztok, Taranenko, Andrej
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Robust Hausdorff distance for shape matching

SPIE Proceedings, 2002
The Hausdorff distance can be used to measure the similarity of two point sets. In matching the two point sets, one of them is translated, rotated and scaled in order to obtain an optimal matching, which is a computationally intensive process. In this paper, a robust line-feature-based approach for model-based recognition is presented, which can ...
Wai-Pak Choi, Kin-Man Lam 0001, Wan-Chi Siu   +2 more
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An incremental Hausdorff distance calculation algorithm

Proceedings of the VLDB Endowment, 2011
The Hausdorff distance is commonly used as a similarity measure between two point sets. Using this measure, a set X is considered similar to Y iff every point in X is close to at least one point in Y . Formally, the Hausdorff distance HausDist(
Sarana Nutanong, Edwin H. Jacox, Hanan Samet   +2 more
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A modified Hausdorff distance for object matching

Proceedings of 12th International Conference on Pattern Recognition, 2002
The purpose of object matching is to decide the similarity between two objects. This paper introduces 24 possible distance measures based on the Hausdorff distance between two point sets. These measures can be used to match two sets of edge points extracted from any two objects.
Marie-Pierre Dubuisson, Anil K. Jain 0001   +1 more
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Hausdorff Distance and Digital Filters

1987
One of the main steps for designing digital filters is the problem for approximation of the amplitude-frequency characteristic of the filter. As a rule it is necessary to approximate a functions with jumps (step function) by means of polynomials or rational functions. There exist many approaches for solving that problem under different restrictions and
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