Results 241 to 250 of about 151,652 (272)
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Array heads for estimating track misregistration
IEEE Transactions on Magnetics, 1993The authors examine the use of array heads for estimating the data and for providing servo information. A mathematical representation for array heads is developed, and a formula for the maximum likelihood estimate of the track misregistration is found.
L.C. Barbosa, C.E. MacDonald, J.K. Wolf
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Head Pose Estimation in Computer Vision: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems. Compared to face detection and recognition, which have been the primary foci of face-related vision research, identity-invariant head pose estimation has fewer rigorously evaluated systems or generic solutions.
Erik Murphy-Chutorian, Mohan M. Trivedi
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Estimating head's measurements from front-view head and shoulders images
ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349), 2003The automated process of estimating a human head's measurements from a front-view head and shoulders image/video sequences is crucial for applications such as automated face identification, model-based video coding, and database indexing and browsing.
Adnan M. Alattar, Sarah A. Rajala
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Multi-manifold modeling for head pose estimation
2010 IEEE International Conference on Image Processing, 2010In this paper, we study the identity-independent head pose estimation problem, in order to handle the appearance variations, we consider the pose data lying on multiple manifolds. We present a novel manifold clustering method to construct multiple manifolds each of which characterizes the underlying subspace of some subjects.
Xiangyang Liu, Hongtao Lu, Wenbin Li
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Heading estimation indoors using a smartphone in the pocket
2015 10th International Conference on Communications and Networking in China (ChinaCom), 2015The problem of heading estimation is central for indoor positioning system using smartphone inertial sensors. Instead of assuming that the smartphone is held in hand as many previous works, this paper aims to develop a heading estimation approach in a more common situation that the smartphone is held in a pocket.
Zhi-An Deng +4 more
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Head Pose Estimation by a Stepwise Nonlinear Regression
2009Head pose estimation is a crucial step for numerous face applications such as gaze tracking and face recognition. In this paper, we introduce a new method to learn the mapping between a set of features and the corresponding head pose. It combines a filter based feature selection and a Generalized Regression Neural Network where inputs are sequentially ...
Bailly, Kevin +2 more
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A robust algorithm for 3D head pose estimation
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002Presents a method to estimate the 3D pose of a human head in an image. To increase the stableness of the pose estimation, we use continuous representations instead of binary images to describe the skin/hair regions in an image. We use them to calculate the geometrical properties such as area, center, and the axis of least inertia of the skin, the hair,
Qian Chen 0001 +4 more
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Head pose estimation for visual field projection
Proceedings of the 16th ACM international conference on Multimedia, 2008No ...
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Meeting state estimation using head movement
Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., 2005This paper discusses a meeting state estimation method that uses head movement. To obtain head movement, face position movement is detected from images captured by the participants' cameras used in a multimedia meeting; no additional user equipment for meeting state estimation is needed.
Masamichi Hosoda +3 more
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Head orientation estimation for covert-tracking robot
2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA), 2009Covert-tracking robot refers to the mobile robot that not only can follow a human objective, but at the same time can control itself to keep away from the human's visual field. This paper proposes a head orientation estimation method based on probability model, which can help the robot to implement its covert behaviors.
Wei Zou, Lixin Fang, Yuan Li, Kui Yuan
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