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Range estimation by optical differentiation

Journal of the Optical Society of America A, 1998
We describe a novel formulation of the range recovery problem based on computation of the differential variation in image intensities with respect to changes in camera position. This method uses a single stationary camera and a pair of calibrated optical masks to measure this differential quantity directly.
H, Farid, E P, Simoncelli
openaire   +2 more sources

Estimating the linear analytic range

Clinica Chimica Acta, 1999
Although many methods have been proposed to verify assay linearity, or to test for nonlinearity, there are few, if any, statistically sound methods to establish an assay's linear range. In this article, we propose a simple and statistically sound method for initially establishing an assay's linear range as a paradigm for standardization of ...
H B, Lipman, J R, Astles
openaire   +2 more sources

Range Estimation in UWB Realistic Environments

2006 IEEE International Conference on Communications, 2006
This paper investigates time of arrival (ToA) estimation methods for ultra-wide bandwidth (UWB) propagation signals. Different algorithms are implemented in order to detect the direct path in a dense multipath environment. In particular, suboptimal low-complex techniques based on peak detection are used to deal with partial overlap of signal paths.
Chiara Falsi   +3 more
openaire   +3 more sources

Improving range query estimation on histograms

Proceedings 18th International Conference on Data Engineering, 2003
Histograms are used to summarize the contents of relations for the estimation of query result sizes into a number of buckets. Several techniques (e.g., MaxDiff and V-Optimal) have been proposed in the past for determining bucket boundaries which provide better estimations.
Buccafurri F   +4 more
openaire   +3 more sources

Multivariate Estimation of Reference Ranges

American Journal of Clinical Pathology, 1978
This paper describes a new method for estimating reference ranges of 21 frequently performed laboratory tests utilizing routine test results of selected hospital patients. Computer programs perform the selection of patient records and the statistical analysis.
openaire   +2 more sources

Differential Range Flow Estimation

1999
We present a total least squares based differential method for the estimation of 3D range flow from a sequence of range images. We address the various manifestations of the aperture problem encountered with this type of data. It is described how they can be detected and how the appropriate normal flow can be computed.
Hagen Spies   +3 more
openaire   +1 more source

Estimating the home range

Journal of Applied Probability, 1994
A proposal is given for estimating the home range of an animal based on sequential sightings. We assume the given sightings are independent, identically distributed random vectors X 1,· ··, Xn whose common distribution has compact support.
de Haan, Laurens, Resnick, SI
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Passive range estimation and range rate detection

Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410), 2002
The problem of interest is a rapidly closing object (e.g. a torpedo) emitting broadband and narrowband acoustic signatures. A high negative range rate is indicative of a torpedo threat, and good range-bearing estimates provide good target localization.
R. Jeffers, B. Breed, B. Gallemore
openaire   +1 more source

Age estimation with dynamic age range

Multimedia Tools and Applications, 2016
Age estimation has been widely used and became more and more important, for its usefulness in various applications. However, accurately predict the age for an unlabeled image is difficult, because there are many factors that have impact on the appearance of a person.
De-He Lai   +4 more
openaire   +1 more source

Estimation Of Range-doppler Radar Images

1993 IEEE International Symposium on Circuits and Systems, 2002
It is shown that most accurate reconstruction of a range-Doppler target density that can be computed from N waveforms and their echoes is obtained by transmitting the singular functions corresponding to the N largest singular values of two kernels derived from the target density.
openaire   +1 more source

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