Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [3], pages 75--89.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... objects is that of physics based deformable models, introduced in [11] It has been widely used for tracking of 3D objects and for non rigid motion modeling [4] 5] 17] Coupled with the Kalman filtering approach, this method has been extended to handle complex motions of non rigid objects [15] [16] However the physics based methods require knowledge of certain physical properties of the bodies in question, which are not always available. Some approaches ( 1] 6] 7] estimate the model properties using a set of cue points manually chosen at initialization stage. In reallife ....

Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [3], pages 75--89.

....other things, with respect to which kind of information is used to identify targets in images. A common way is to use contour information in terms of image potentials that are tracked with snakes [13, 2, 7] Other researchers use image measurements derived from explicit models in 2D [14] and 3D [1, 3, 12, 10]. Approaches based on optical flow do not directly depend on the presence of conspicious image features but typically involve data driven segmentation stages to obtain information about the target s shape [8, 6] By contrast, we investigate the utilization of scene dependent motion fields (which ....

D. Terzopoulos and D. Metaxas. Tracking nonrigid 3d objects. In A. Blake and A. Yuille, editors, Active Vision, pages 75--89. MIT Press, 1992.

.... this is an example where the compatibility between different weak perspective views of a 2D rigid curve is enforced. However the main thrust of research in this area has been in the incorporation of probability for robust tracking [1] and the development of complex 3D active contour models [8]. The task of tracking the same object in multiple camera views is much less researched. One of the disadvantages of tracking the same object in different views independently is that shape inconsistencies cannot be prevented, as exemplified by fig. 1. Braud, Lapreste and Dhome [2] have considered ....

D. Terzopoulos and D. Metaxas. Tracking nonrigid 3D objects. In A. Blake and A. Yuille, editors, Active Vision, chapter 5, pages 75--89. MIT Press, 1992.

....is that it should be capable of characterising any shape instance in the modelled class. Physically based models [6, 7] achieve this by introducing dynamical deformations to accommodate variations in shape. They have been successfully used in the applications such as shape recovery and tracking [8, 5, 9]. A significant problem in utilising these models is that the scope of the generic model accommodates all shapes within the solution space of the dynamical simulation, but is not restricted to a specific target class of objects. As a result, the associated methods are often sensitive to image ....

D. Terzopoulos and D. Metaxas. Tracking Nonrigid 3D Objects. In A. Blake and A. Yuille, editors, Active Vision, pages 75--89. MIT Press, 1992.

....fields according to the Lagrange equations of motion. The force fields are used to fit the deformable model to the object in each frame of the image sequence subject to hard point correspondence constraints. These deformable models were incorporated into a nonlinear Kalman filter framework in [89, 90, 91, 92] to recursively track the motion through an image sequence. Other methods of fitting deformable models to objects in an image sequence include the game theoretic approach of Bozma and Duncan [93] and the symbolic feature matching scheme of Segen and Dana [94] Parametric deformable models were fit ....

D. Terzopoulos and D. Metaxas. Tracking nonrigid 3d objects. In A. Blake and A. Yuille, editors, Active Vision, pages 75--89. MIT Press, Cambridge, Massachussetts, 1992.

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Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [3], pages 75--89.

No context found.

Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [3], pages 75--89.

No context found.

Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [3], pages 75--89.

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Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [19], pages 75--89.

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Demetri Terzopoulos and Richard Szeliski. Tracking nonrigid 3D objects. In Blake and Yuille [19], pages 75--89.

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