A. Pentland and S. Sclaro . Closed-form solutions for physically-based shape modeling and recognition. IEEE Trans. on Patterns Analysis and Machine Intelligence, 13(7):715-729, July 1991. Home/Search Document Not in Database Summary Related Articles Check |
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Improving the Scope of Deformable Model Shape and.. - Sminchisescu.. (2001) (Correct)
....the accuracy and speed of the deformable models estimation process, providing important additional constraints especially during difficult to track, towards camera motion. 1. 2 Relation to Previous Work In the area of physics based deformable models, various formulations have been proposed ([25, 13, 17, 16]) As powerful as these techniques are, they typically assume the model representation is fixed and known a priori, sometimes imposing a heavy burden on the model initialization recovery process ( 6, 5] Furthermore, a representational gap exists between the coarse, parametric shapes used to ....
A.Pentland and S.Sclaroff. Closed form solutions for physically-based shape modeling and recognition, PAMI, July 1991.
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....boundaries. This model defines a shock grammar that restricts how the shock types can combine to form a shape. The grammar is used to eliminate invalid shock combinations. The shock graphs that describe a shape facilitate comparison between shapes. 2) Finite element methods by Pentland et. al [8] define a dynamic finite element model that fits the shape. The low order modal coordinates describes the object structure under its free vibration modes. A simple dot product of the modal vectors of two shapes is a strong discriminator of their structural differences. 3) Super quadrics by ....
Pentland, A., Sclaroff, S.: Closed-Form Solutions for Physically Based Shape Modeling and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13(7). (1991) 715-729.
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....(e.g. 85, 88] cannot be applied to 3D objects. Another problem is the higher dimensionality of 3D data, which makes registration, finding feature correspondences, and fitting model parameters more expensive. As a result, methods that match shapes using geometric hashing [49] or deformations [3, 45, 65, 77, 87]) are more difficult in 3D. Shape based recognition of 3D objects is a core problem in computer vision. However, in vision, images or range scans of objects are usually obtained from specific viewpoints, in scenes with clutter and occlusion. Range images require partial surface matching [16, 23, ....
A. Pentland and S. Sclaroff. Closed-form solutions for physically based shape modeling and recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 13(7):715--729, 1991.
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A. Pentland and S. Sclaroff. Closed-form solutions for physically-based shape modeling and recognition. IEEE Trans. Pattern Analysis and Machine Intelligence, 13(7):715-- 729, July 1991.
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A. Pentland and S. Sclaroff. Closed-form solutions for physically-based shape modeling and recognition. 13(7):715--729, July 1991.
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A. Pentland and S. Sclaro . Closed-form solutions for physically-based shape modeling and recognition. IEEE Trans. on Patterns Analysis and Machine Intelligence, 13(7):715-729, July 1991.
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A. Pentland and S. Sclaro . Closed-form solutions for physically-based shape modeling and recognition. IEEE Trans. on Patterns Analysis and Machine Intelligence, 13(7):715-729, July 1991.
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Pentland, A. & Sclaroff, S. (1991), Closed form solutions for physically based shape modelling and recognition, in T. Kanade & K. Ikeuchi, eds, `IEEE Transactions on Pattern Analysis and Machine Intelligence: Special Issue on Physical Modeling in Computer Vision', Vol. 13(7), pp. 715--729.
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A. Pentland and S. Sclaroff. Closed-Form Solutions for Physically Based Shape Modeling and Recognition. In Patern Analysis and Machine Intelligence, IEEE Computer Society Press, volume 13, pages 715-729, July 1991.
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A. Pentland and S. Sclaroff, "Closed Form Solutions for Physically-Based Shape Modeling and Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 7, pp. 715-729, July 1991.
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A. Pentland and S. Sclaroff. Closed-form solutions for physically based shape modeling and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13:715-- 729, 1991.
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A. Pentland and S. Sclaroff. Closed-form solutions for physically based shape modeling and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13:715--729, 1991.
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A. Pentland and S. Sclaroff. Closed-form solutions for physically based shape modeling and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13:715-- 729, 1991.
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A. P. Pentland and S. Sclaroff, "Closed-form Solutions for Physically Based Shape Modeling and Recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 13, No.7, pp. 715-729, 1991.
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A. P. Pentland and S. Sclaroff, "Closed-form Solutions for Physically Based Shape Modeling and Recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 13, No.7, pp. 715-729, 1991.
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