Curve and Surface Reconstruction from Noisy Samples Curve and Surface Reconstruction from Noisy Samples
نویسنده
چکیده
Authorization I hereby declare that I am the sole author of the thesis. I authorize the Hong Kong University of Science and Technology to lend this thesis to other institutions or individuals for the purpose of scholarly research. to reproduce the thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. This is to certify that I have examined the above Ph.D. thesis and have found that it is complete and satisfactory in all respects, and that any and all revisions required by the thesis examination committee have been made. iii To My Wife Yuki and Family for their Patience and Understanding ACKNOWLEDGMENTS Special thanks go to my thesis supervisor Dr. Siu-Wing Cheng for his brilliant guidance of my work and great patience to lead me to be a researcher. Collaboration with him results in widening and enriching my styles of thinking, correcting my directions to solve a problem, and improving my communication and writing skills. Thanks also go to the members of my thesis examination committee for taking the time to read my thesis and ooer important comments. Moreover, thanks also go to my colleagues and my friends in the Theoretical Computer Science Group in our department. Thanks to the system staa in our major department. They are very helpful and their technical support are excellent. Last but not least, I sincerely thank my family for their support, and great encouragement for my studies of the doctoral degree. Without them, this thesis would never come to its existence.
منابع مشابه
Robust Moving Least-squares Fitting with Sharp Features
1. Briefly summarize the paper’s contributions. Does it address a new problem? Does it present a new approach? Does it show new types of results? [AS] This paper presents a new robust moving least squares (MLS) approach to define a surface from a potentially noisy point set. Using techniques from robust statistics to determine neighborhoods used by MLS, this approach produces a piecewise smoo...
متن کاملParametric Curve Reconstruction from Point Clouds using Minimization Techniques
Smooth (C1-, C2-,...) curve reconstruction from noisy point samples is central to reverse engineering, medical imaging, etc. Unresolved issues in this problem are (1) high computational expenses, (2) presence of artifacts and outlier curls, (3) erratic behavior at self-intersections and sharp corners. Some of these issues are related to non-Nyquist (i.e. sparse) samples. Our work reconstructs c...
متن کاملSurface Reconstruction Using Active Contour Models
Variational Methods have been frequently used for surface reconstruction and contour extraction (snakes). We present a surface reconstruction method where we assume the surface composed of two regions of di erent types of smoothness. One region of the surface models a \lake" (constant height region with uphill borders). It is surrounded by the other background region which is reconstructed usin...
متن کاملParallel implementation of curve and surface reconstructions from noisy samples
We consider the problem of reconstructing a curve or a surface from discrete noisy samples by approximating the point set with non-uniform rational B-splines. We show how to set up the free knot problem such that constrained nonlinear optimization can be applied efficiently. An approach for realizing the optimization in parallel will be described in detail. Our foremost objective in our paralle...
متن کاملRidge based curve and surface reconstruction
This paper presents a new method for reconstructing curves and surfaces from unstructured point clouds, allowing for noise in the data as well as inhomogeneous distribution of the point set. It is based on the observation that the curve/surface is located where locally the point cloud has highest density. This idea is pursued by a differential geometric analysis of a smoothed version of the den...
متن کامل