Download e-book for iPad: Articulated Motion and Deformable Objects: 6th International by Brais Martinez, Marc Vivet, Xavier Binefa (auth.), Francisco

By Brais Martinez, Marc Vivet, Xavier Binefa (auth.), Francisco J. Perales, Robert B. Fisher (eds.)

ISBN-10: 3642140610

ISBN-13: 9783642140617

This booklet constitutes the court cases of the sixth foreign convention on Articulated movement and Deformable gadgets, held in Port d'Andratx, Mallorca, Spain, in July 2010.

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Additional info for Articulated Motion and Deformable Objects: 6th International Conference, AMDO 2010, Port d’Andratx, Mallorca, Spain, July 7-9, 2010. Proceedings

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Petˇr´ık and L. V´ aˇsa In order to transmit the mesh, the selected subset of eigenvectors (matrix E of size 3F × N ) has to be transmitted along with the combination coefficients (matrix C of size V × N ) and the vector A representing the average trajectory. Details on how to efficiently encode the matrix of eigenvectors can be found in [12]. The other key observation of the Coddyac algorithm is that the PCA step can be interpreted as a simple change of basis, and therefore it should not have any influence on results of linear operators.

2(b)) divided by the sum of the shorted paths from the mesh centroid (root node) to each endpoint. And the third feature is the relative centroid path, which is the shortest path distance from the mesh centroid to each endpoint (see Fig. 3), divided by the sum of the shortest paths from the mesh centroid to all endpoints. Endpoints dissimilarity. Let M and M be two 3D objects with skeletal Reeb graphs G and G, respectively. ,n2 the skeleton endpoints sets of G and G, respectively. We define the ˜ j as follows: dissimilarity measure between two endpoints v i and v ˜ j ) = [(ai − a Φ(v i , v ˜j )2 + (dv i − d˜ v j )2 + (dci − d˜ cj )2 ]1/2 , (6) where ˜j ˜j are the relative node areas of v i and v – ai and a n1 n1 – dv i = k=1 dist(v i , v k )/ k=1 dist(c, v k ) and n2 2 ˜ k )/ nk=1 ˜ k ) are the relative node paths of v i d˜ v j = k=1 dist(˜ vj , v dist(˜ c, v ˜j and v n1 2 ˜ j )/ nk=1 ˜k) – dci = dist(c, v i )/ k=1 dist(c, v k ) and d˜ cj = dist(˜ c, v dist(˜ c, v ˜j are the relative centroid paths of v i and v Retrieving Articulated 3D Objects Using Normalized Distance Function 27 Fig.

4, pp. 301–304 (2007) 19. : Robust lip tracking by combining shape, color and motion. In: Proc. ACCV, pp. 1040–1045 (2000) 20 U. -L. Dugelay 20. : Snakes: active Contour models. International Journal of Computer Vision 1, 259–268 (1987) 21. : Lip Localization and Viseme Recognition from Video Sequences. In: Fourteenth National Conference on Communications (2008) 22. : Robust Facial Feature Tracking. In: Proceedings of the 11th British Machine Vision Conference, UK, vol. 1, pp. 232–241 (2000) 23.

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Articulated Motion and Deformable Objects: 6th International Conference, AMDO 2010, Port d’Andratx, Mallorca, Spain, July 7-9, 2010. Proceedings by Brais Martinez, Marc Vivet, Xavier Binefa (auth.), Francisco J. Perales, Robert B. Fisher (eds.)


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