Automatic mesh enhancement by control of aspect ratio

2002-11-02
Egorova, Olga
Sorguç, Arzu
Hagıwara, Ichiro
In this study the aspect ratio is chosen as a characteristic parameter of the mesh structure. Basic statistical theory, Monte Carlo simulation technique and geometrical realization are to be employed. The assumption for the new distribution of aspect ratio and value prediction for each mesh are to be applied in a cycle way. The parameters like expectation and variance are used to determine how much the modification of meshes is necessary in the next step. The equality of sample mean to desirable aspect ratio breaks the cycle. Thus automatic mesh generation with a good aspect ratio is provided. The method is very flexible for further modification with respect to the feature of a given model.
Computational Mechanics Conference, (2 - 04 Kasım 2002)

Suggestions

Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images
Ok, Ali Ozgun; Wegner, Jan Dirk; Heipke, Christian; Rottensteiner, Franz; Soergel, Uwe; Toprak, Vedat (2012-01-01)
In this study, a new 3D reconstruction approach for line segments from stereo images is proposed which covers the case that the image lines are nearly-aligned (<= 10 degrees) with the epipolar line. The method manipulates the redundancy inherent in line pair-relations to generate artificial 3D points and utilizes those entities during the estimation process to improve the reconstruction of the line segments. The best points for the reconstruction are selected based on a newly proposed weight function. To te...
Improved SIFT matching for image pairs with scale difference
BAŞTANLAR, YALIN; Temizel, Alptekin; Yardimci, Y. (2010-03-04)
When directly applied to images with different scales, scale invariant feature transform (SIFT) matching performance decreases significantly. In this reported work, this phenomenon is demonstrated and a simple method to increase the performance of SIFT matching is proposed. The proposed method includes preprocessing the images before matching and is compared to previously proposed solutions which only eliminate false matches.
Camera auto-calibration using a sequence of 2D images with small rotations
Hassanpour, R; Atalay, Mehmet Volkan (Elsevier BV, 2004-07-02)
In this study, we describe an auto-calibration algorithm with fixed but unknown camera parameters. We have modified Triggs' algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. The algorithm despite being a quadratic one is easy to solve. We have applied the algorithm to some artificial objects with known size and dimensions for evaluation purposes. In addition, the accuracy of the algorithm has been verified using synthetic data. The des...
Compressed Sensing Based Hyperspectral Unmixing
Albayrak, R. Tufan; GÜRBÜZ, Ali Cafer; Gunyel, Bertan (2014-04-25)
In hyperspectral images the measured spectra for each pixel can be modeled as convex combination of small number of endmember spectra. Since the measured structure contains only a few of possible responses out of possibly many materials sparsity based convex optimization techniques or compressive sensing can be used for hyperspectral unmixing. In this work varying sparsity based techniques are tested for hyperspectral unmixing problem. Performance analysis of these techniques on sparsity level and measureme...
Linear Separability Analysis for Stacked Generalization Architecture
Ozay, Mete; Vural, Fatos T. Yarman (2009-04-11)
Stacked Generalization algorithm aims to increase the individual classification performances of the classifiers by combining the information obtained from various classifiers in a multilayer architecture by either linear or nonlinear techniques. Performance of the algorithm varies depending on the application domains and the space analyses that affect the classification performances could riot be applied successfully.
Citation Formats
O. Egorova, A. Sorguç, and I. Hagıwara, “Automatic mesh enhancement by control of aspect ratio,” Kagoshima, Japonya, 2002, p. 731, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/88225.