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A Dislocation Perspective on Strength and Toughness in Ceramics
Advanced Engineering Materials, EarlyView.Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
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Estimation of an affine motion
2009 American Control Conference, 2009This paper discusses the 3D affine motion estimation problem using two cameras via observations of a single feature point. The unknown parameters to be estimated include the nine rotational parameters, the three translational parameters, and the 3D position. One camera assumes a parabolic projection. The other camera is the conventional camera that has
Lili Ma +4 more
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Motion segmentation and estimation
Proceedings of 1st International Conference on Image Processing, 2002Applies mean field technique and presents a deterministic algorithm to determine the optical flow and motion boundaries. To deal with the problem of large motion, the authors present an adaptive multigrid approach, which also greatly reduces the computation time. This algorithm is fully parallelizable and iterative.
Tian, Tina Yu, Shah, M.
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2010 IEEE International Conference on Image Processing, 2010
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast motion relative to the magnitude of the image gradient. In this paper, we propose a fast random search algorithm to estimate motion.
Sylvain Boltz, Frank Nielsen
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Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast motion relative to the magnitude of the image gradient. In this paper, we propose a fast random search algorithm to estimate motion.
Sylvain Boltz, Frank Nielsen
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Motion estimation optimization
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992Motion estimation is cast as a problem in energy minimization. This is achieved by modeling the displacement field as a Markov random field. The equivalence of a Markov random field and a Gibbs distribution is then used to convert the problem into one of defining an appropriate energy function that describes the motion and any constraints imposed on it.
Sarah A. Rajala +3 more
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Segmentation and motion estimation
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002We present an algorithm that combines image segmentation and motion field estimation. The segmentation includes the occluded and uncovered background regions, the self-occluded and uncovered object regions, and the common moving regions of the objects.
Hamid Naseri, John A. Stuller
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Motion estimation and segmentation
Machine Vision and Applications, 1996In the general structure-from-motion (SFM) problem involving several moving objects in a scene, the essential first step is to segment moving objects independently. We attempt to deal with the problem of optical flow estimation and motion segmentation over a pair of images. We apply a mean field technique to determine optical flow and motion boundaries
Tina Yu Tian, Mubarak Shah
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Motion estimation with integrated motion models
Proceedings of the 42nd annual Southeast regional conference, 2004Conventional motion estimation algorithms rely on motion vectors characterizing translations and thus have limitations in capturing transformations of objects in video scenes such as scaling, rotations and deformations. In this paper, we introduce integrated motion models based on the Lie derivatives to improve the motion estimation accuracy.
Mahesh Nalasani +2 more
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Motion estimation on interlaced video
SPIE Proceedings, 2005Motion compensated de-interlacing and motion estimation based on Yen's generalisation of the sampling theorem (GST) have been proposed by Delogne and Vandendorpe. Motion estimation methods using three-fields have been designed on a block-by-block basis, minimising the difference between two GST predictions.
Calina Ciuhu, Gerard de Haan
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