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Production of a range image for facial motion analysis: A method for analyzing lip motion
Computerized Medical Imaging and Graphics, 2006To analyze the lip movement of patients with cleft lip and palate in detail, we developed a novel technique to produce a range image from a video-based motion capture system, and a unique technique to analyze lip movements in detail three-dimensionally.
Katsuaki Mishima +3 more
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Global motion identification for image sequence analysis and coding
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991A new method is proposed to estimate global motion parameters from an unusual initial dense velocity field. The authors first want to obtain a compact representation of a dense velocity field and compute a spatiotemporal motion-based segmentation; then these parameters are used as initial values of a cost-function minimization algorithm and applied ...
Henri Nicolas, Claude Labit
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Motion detection using image histogram sequence analysis
Signal Processing, 1993Abstract This paper presents an unconventional approach for motion detection using image histogram sequence analysis. Functional and statistical models for image histogram sequence analysis are proposed. The relationship between the statistical characteristics of the image histogram sequences and the process of motion detection is established.
Panayot Iliev, L. Tsekov
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Cardiac Image Analysis: Motion and Deformation
2010In this chapter, we describe research in the area of estimation of cardiac motion and deformation from medical images. We focus primarily on the use of 3D magnetic resonance image sequences, but we will also discuss the application of some methods to ultrafast CT and 3D echocardiography.
Xenophon Papademetris, James Duncan
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Gait Analysis using Independent Components of image motion
2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008We propose a novel approach to gait analysis using the independent components of motion. Our motion representation uses the amount of translation in small image patches. For each subject in the training set, several short image sequences are selected at random. Spatiotemporal independent component analysis (stICA) estimates independent components (ICs)
Wallace E. Lawson +2 more
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Motion of Spermatozoa by Visual Image Analysis
Sexuality and Disability, 2007Spermatozoa are basic male reproductive cells. An analysis of semen characteristics can provide a reasonable basis upon which to develop a strategy for maximizing the fertility. Because it is generally accepted that a high percentage of poorly motile or immotile sperm will adversely affect male fertility, analysis of sperm motility is a central part of
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Design and Use of Linear Models for Image Motion Analysis
International Journal of Computer Vision, 2000Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estimate, and they provide reliable estimates of the optical flow of smooth surfaces.
David J. Fleet +3 more
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2D fluid motion analysis from a single image
Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), 2002This paper is concerned with the analysis of 2D fluid motion from numerical images. The interpretation of such deformable flow fields can be derived from the characterization of linear motion models provided that first order approximations are considered in an adequate neighborhood of so-called singular points where the velocity becomes null.
Mariette Maurizot +2 more
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Networks for image analysis: motion and texture
International Joint Conference on Neural Networks, 1989This study outlines certain difficult problems in image processing and perception that can be solved by simple cooperative and competitive neural interactions. A scheme for measuring local image velocity in a way that is disambiguated from the form of the moving object and from the aperture through which it is observed is discussed.
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Real-time human motion analysis by image skeletonization
Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201), 2002In this paper a process is described for analysing the motion of a human target in a video stream. Moving targets are detected and their boundaries extracted. From these, a "star" skeleton is produced. Two motion cues are determined from this skeletonization: body posture, and cyclic motion of skeleton segments.
Hironobu Fujiyoshi, Alan J. Lipton
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