Y. F. Wang and Jih-Fang Wang. Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints. IEEE Transaction on Pattern Analysis and Machine Intelligence, 14(5), May 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....was introduced fairly recently by Terzopoulos et al. 15] They proposed a dynamic deformable cylinder model constructed from generalized splines and developed force field techniques to fit the model to image data. The dynamic model fitting approach is being pursued by several researchers [7, 10, 3, 4, 16, 6, 17], as it is in this paper. This paper presents a physics based approach to the reconstruction of object shape and nonrigid motion tracking using a 3D deformable balloon model. The model is dynamic, and its deformation is governed by the laws of nonrigid motion. The formulation of the motion ....

Y.F. Wang and J.F. Wang. Surface Reconstruction using Deformable Models with Interior and Boundary Constraints. IEEE Trans. Pat. Anal. Mach. Intel., 14(5):572--579, May 1992.

....was introduced fairly recently by Terzopoulos et al. 13] They proposed a dynamic deformable cylinder model constructed from generalized splines and developed force field techniques to fit the model to image data. The dynamic model fitting approach is being pursued by several researchers [6, 9, 2, 3, 14, 5, 15], as it is in this paper. This paper presents a physics based approach to surface reconstruction using an elastically deformable sheet model. The model is based on physically motivated multi dimensional generalizations of classical 1 Fellow, Canadian Institute for Advanced Research splines. ....

Y.F. Wang and J.F. Wang. Surface Reconstruction using Deformable Models with Interior and Boundary Constraints. IEEE Trans. Pat. Anal. Mach. Intel., 14(5):572-- 579, May 1992.

....It can be observed from the left side of the figure that the variation of eyes is not represented by the first three eigenvectors. However, on the right side of the figure, the first face mode clearly incorporates variation of the eyes after emphasizing the landmarks of the eyes. object boundary [13]. In order to achieve better conformity to the shape of an object, we employ a curve fitting procedure that is described next. This procedure constitutes the final fine tuning step of our algorithm. In particular, we select the position V fine i of the snaxel V i from the nonzero Canny edge ....

Y.F. Wang and J.F. Wang, Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 5, pp. 572579, May 1992.

....and for tracking moving objects in computer vision. Following the advent of the dynamic shape modeling paradigm, there was a flurry of research activity in the area, with numerous application specific modifications to the modeling primitives, and external forces derived from data constraints [9, 25, 26, 27, 28, 6, 7]. However, the aforementioned schemes for shape modeling have two serious limitations the dependence of the final surface shape on the initial guess made to start the numerical reconstruction procedure, and a strong assumption on the object s topology. The first of these deficiencies stems from ....

Y. F. Wang and J. F. Wang, "Surface reconstruction using deformable models with interior and boundary constraints," in Proceedings of ICCV, pp. 300--303, Osaka, Japan, 1990. 24 (a) Initialization (b) After 22 iterations (c) After 49 iterations (d) After 80 iterations (e) Fine grid computation

....applications and for tracking moving objects in computer vision. Following the advent of the dynamic shape modeling paradigm [15, 34] considerable research followed, with numerous application specific modifications to the modeling primitives, and external forces derived from data constraints [39, 18, 11, 24, 36, 37]. The final recovered shape in these schemes can depend on the initial guess made to start the numerical reconstruction procedure. This is due to the fact that the energy functionals used in the variational formulations are typically nonconvex and hence have multiple local minima. Therefore, the ....

Y. F. Wang and J. F. Wang, "Surface reconstruction using deformable models with interior and boundary constraints," in Proceedings of ICCV, pp. 300--303, Osaka, Japan, 1990.

....x which is expressed with respect to the inertial frame Phi as follows: x(u; t) 2 6 6 6 6 4 x(u; v; w; t) y(u; v; w; t) z(u; v; w; t) 3 7 7 7 7 5 : 6:34) This representation reveals the dynamic behavior of the model. Each node is free to move in 3 D space within the shape constraints [105] e.g. the inner layer of the model is always inside of the outer layer. 6.6 Summary The primitives with parameter functions can be created by replacing its constant parameters with differentiable parameter functions. For the application to LV modeling, we have defined the volumetric primitive ....

Y. F. Wang and J-F Wang. Surface reconstruction using deformable models with interior and boundary constraints. In Proc. 3rd International Conference on Computer Vision (ICCV90), pages 300--303, Osaka, Japan, Dec 1990.

....was first introduced by Terzopoulos, Witkin, and Kass [7] They proposed a dynamic deformable cylinder model constructed from generalized splines, along with force field techniques to fit the model to image data. This dynamic approach is being pursued by several researchers in computational vision [8, 9, 10, 11, 12, 13, 14]. The use of finite element representations for variational problems in vision were first explored in [15] Our formulation applies the finite element method to the thin plate under tension spline proposed in [16] in order to derive discrete nonrigid dynamics equations. The finite element ....

Y.F. Wang and J.F. Wang. Surface Reconstruction using Deformable Models with Interior and Boundary Constraints. IEEE Trans. Pattern Analysis and Machine Intelligence, 14(5):572-- 579, May 1992.

.... 1991) As with the methods employing 2 1 2 D representations, those employing 3 D representations have used a variety of single image cues for reconstruction, such as silhouettes and image features (Cohen et al. 1991, Delingette et al. 1991, Terzopoulos et al. 1987, Tomasi and Kanade 1992, Wang and Wang 1992), range data (Whaite and Ferrie 1991) stereo (Fua and Sander 1992) and motion (Szeliski 1991) Liedtke et al. 1991) first uses silhouettes to derive an initial estimate of the surface, and then uses a multi image stereo algorithm to improve on the result. Both their approach to deriving an ....

Wang, Y. F. and Wang, J. F. (1992). Surface reconstruction using deformable models with interior and boundary constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(5), 572--579.

....also for tracking moving objects in computer vision applications. With the advent of the dynamic shape modeling paradigm, there was a flurry of research activity in this area, with numerous application motivated modifications to the modeling primitives, and the external forces derived from data [20, 21, 22, 8, 5]. However, the distributed nature of these models each point of the spline surface potentially contributes three spatial degrees of freedom makes them unsuitable for shape recognition tasks. Shape recognition a high level vision task requires that the shape models be characterized by a ....

Y. F. Wang, J. F. Wang, [1990], "Surface reconstruction using deformable models with interior and boundary constraints," in Proceedings of IEEE Conference on Computer Vision, Osaka, Japan, pp. 300-303.

....in case of scarce edge segments. A well known way to avoid the shrinking effect is to use Cohen s pressure force that simulates a balloon inflation. This gives rise to the problem of how to determine the parameters that assure the tolerance between the pressure force and the internal force. In [10, 17] the authors come back to the snake precursors, the deformable models [15] There the internal energy contains the natural arc length and curvature of the object in its natural state, used to prescribe the desirable spatial step and curvature between the snaxels [10] The snakes we consider ....

Y. F. Wang and J.-F. Wang, "Surface Reconstruction using Deformable Models with Interior and Boundary Constraints", IEEE Trans. Patt. Anal. Mach. Intell., Vol.14, No.5, pp. 572-579, 1992.

.... was a flurry of research activity in this area, with numerous application motivated modifications to the modeling primitives and the external forces derived from data; several methods were also developed to improve the numerical stability of the algorithms by using finite element discretization [44, 45, 50, 17, 13, 14]. However, the distributed nature of these models each point of the spline surface potentially contributes three spatial degrees of freedom makes them unsuitable for shape recognition tasks. Shape recognition a high level vision task requires that the shape models be characterized by a ....

Y. F. Wang, J. F. Wang, [1990], "Surface reconstruction using deformable models with interior and boundary constraints," in Proceedings of IEEE Conference on Computer Vision, Osaka, Japan, pp. 300-303.

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Y. F. Wang and Jih-Fang Wang. Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints. IEEE Transaction on Pattern Analysis and Machine Intelligence, 14(5), May 1992.

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Wang, Y. F., and Wang, J.-F. Surface reconstruction using deformable models with interior and boundary constraints. IEEE Trans. on Pattern Analysis and Machine Intelligence 14,5 (May 1992), 572--579.

No context found.

Y. F. Wang and J. F. Wang. Surface reconstruction using deformable models with interior and boundary constraints. In Proc. Third Int. Conf. Comp. Vision, pages 300--303, December 1990.

No context found.

Y. F. Wang and J.-F. Wang, "Surface Reconstruction using Deformable Models with Interior and Boundary Constraints", IEEE Trans. Patt. Anal. Mach. Intell., Vol.14, No.5, pp. 572-579, 1992.

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