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29,759
Maximum likelihood from incomplete data via the EM algorithm
 JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B
, 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
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Cited by 11972 (17 self)
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situations, applications to grouped, censored or truncated data, finite mixture models, variance component estimation, hyperparameter estimation, iteratively reweighted least squares and factor analysis.
Least Squares Matching Tracking Algorithm
"... In this paper we present a method to extract 3D information of the shape and movement of the human body using video sequences acquired with three CCD cameras. This work is part of a project aimed at developing a highly automated system to model most realistically human bodies from video sequences. ..."
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and 3D trajectories of points on the body. Our approach to surface measurement is based on multiimage matching, using the adaptive least squares method. A semi automated matching process determines a dense set of corresponding points in the triplets, starting from few manually selected seed points
Singular Values and Least Squares Matching
 Proc. 36th IEEE Conf. on Dec. and Control
, 1998
"... In this paper we investigate least squares matching problems, extending the methods of our earlier paper [1] in such a way as to make them applicable to problems involving the sets of points that are so complex that approximate answers are of interest. These problems are formulated in terms of conti ..."
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Cited by 1 (0 self)
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In this paper we investigate least squares matching problems, extending the methods of our earlier paper [1] in such a way as to make them applicable to problems involving the sets of points that are so complex that approximate answers are of interest. These problems are formulated in terms
Least Squares Matching In The Transform Domain
"... Because of the large image size of aerial and satellite imagery used in digital photogrammetry, the use of image compression to reduce the amount of storage space has become more common. Normally this would add an additional operation of decompression before photogrammetric processing could be carri ..."
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Cited by 1 (0 self)
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method of image matching using general discrete transform coefficients. A generalised transform domain formulation of least squares matching is developed and it is shown that the transform must be orthogonal for the transform domain system to be equivalent to the pixel domain system. To solve
LEAST SQUARES MATCHING OF 3D SURFACES
"... An algorithm for the least squares matching of overlapping 3D surfaces is presented. It estimates the transformation parameters of one or more fully 3D surfaces with respect to a template one, using the Generalized GaussMarkoff model, minimizing the sum of squares of the Euclidean distances between ..."
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An algorithm for the least squares matching of overlapping 3D surfaces is presented. It estimates the transformation parameters of one or more fully 3D surfaces with respect to a template one, using the Generalized GaussMarkoff model, minimizing the sum of squares of the Euclidean distances
MOTION CAPTURE BY LEAST SQUARES MATCHING TRACKING ALGORITHM
"... In this paper we present a method to extract 3D information of the shape and movement of the human body using video sequences acquired with three CCD cameras. This work is part of a project aimed at developing a highly automated system to model most realistically human bodies from video sequences. ..."
Abstract
 Add to MetaCart
and 3D trajectories of points on the body. Our approach to surface measurement is based on multiimage matching, using the adaptive least squares method. A semi automated matching process determines a dense set of corresponding points in the triplets, starting from few manually selected seed points
MOTION CAPTURE BY LEAST SQUARES MATCHING TRACKING ALGORITHM
"... In this paper we present a method to extract 3D information of the shape and movement of the human body using video sequences acquired with three CCD cameras. This work is part of a project aimed at developing a highly automated system to model most realistically human bodies from video sequences. ..."
Abstract
 Add to MetaCart
and 3D trajectories of points on the body. Our approach to surface measurement is based on multiimage matching, using the adaptive least squares method. A semi automated matching process determines a dense set of corresponding points in the triplets, starting from few manually selected seed points
On the complexity of the partial leastsquares matching voronoi diagram
 In Proc. 29th European Workshop on Computational Geometry
, 2013
"... Given two point sets of sizes n and m, we study the partial matching problem of translating the smaller point set to a position where it is best resembled by an equally sized subset of the larger point set. Measuring the similarity is done by the sum of squares of the Euclidean distances between th ..."
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Cited by 3 (2 self)
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Given two point sets of sizes n and m, we study the partial matching problem of translating the smaller point set to a position where it is best resembled by an equally sized subset of the larger point set. Measuring the similarity is done by the sum of squares of the Euclidean distances between
Leastsquares matching with airborne laserscanning data in a TIN structure
 International Archives of Photogrammetry and Remote Sensing, 33(B3
, 2000
"... A number of tasks in airborne laserscanning require the establishment of correspondences between point data from neighbouring strips, or referencing between point clouds and object models. These tasks may be solved by interpolating laserscanner data, which are usually irregularly distributed 21/2D ..."
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Cited by 41 (2 self)
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points, to a regular grid and applying standard photogrammetric matching techniques. Instead, the paper presents a formulation of least squares matching based on the original data points in a triangulated irregular network structure, thus avoiding degrading effects caused by the interpo
2010: Leastsquares matching with advanced geometric transformation models
 ISPRS Comm. V
"... The leastsquares matching algorithm (LSM) for areabased image matching is a well known technique in photogrammetry and computer vision since more than two decades. Differences between two or more images can be modelled by estimating geometric and radiometric transformation functions within the fun ..."
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Cited by 4 (1 self)
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The leastsquares matching algorithm (LSM) for areabased image matching is a well known technique in photogrammetry and computer vision since more than two decades. Differences between two or more images can be modelled by estimating geometric and radiometric transformation functions within
Results 1  10
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29,759