On Exact Error Bounds for View-Dependent Simplification
نویسندگان
چکیده
In this article we present an analytical closed-form expression to ensure exact error bounds for view-dependent simplification which is of importance for several algorithms. The present work contains proofs and solutions for the general 2D case and particular 3D cases. Most preceeding works rely on coarse heuristics, that might fail and/or restrict movements or object representations. We introduce the notion of validity regions as the complete set of possible simplifications respecting a given error bound between the object and its simplification. The approach handles arbitrary polygonal viewcells which allow for free movement in the interior. We show how to compute these regions for mesh points and faces. Since the validity region of a face accounts for all its points, properties like silhouette preservation and textures are gracefully handled. This is not the case if the error is controlled only at the face’s vertices or edges.
منابع مشابه
FastMesh: Efficient View-dependent Meshing
In this paper we present an optimized view-dependent meshing framework for adaptive and continuous level-of-detail (LOD) rendering in real-time. Multiresolution triangle mesh representations are an important tool for adapting triangle mesh complexity in real-time rendering environments. Ideally for interactive visualization, a triangle mesh is simplified to the maximal tolerated perceptual erro...
متن کاملView-Dependent Articulated Body Simulation with Adaptive Forward Dynamics
As virtual worlds become larger in size and individual objects get more complicated, various approximation techniques have been developed to render and simulate them. In the literature on rendering, especially visibility culling and view-dependent multi-resolution techniques have been well studied and shown great enhancement on rendering performance. However, applying these view-dependent simpl...
متن کاملFinite-sample Exact Tests for Linear Regressions with Bounded Dependent Variables
We introduce tests for finite-sample linear regressions with heteroskedastic errors. The tests are exact, i.e., they have guaranteed type I error probabilities when bounds are known on the range of the dependent variable, without any assumptions about the noise structure. We provide upper bounds on probability of type II errors, and apply the tests to empirical data.
متن کاملExact maximum coverage probabilities of confidence intervals with increasing bounds for Poisson distribution mean
A Poisson distribution is well used as a standard model for analyzing count data. So the Poisson distribution parameter estimation is widely applied in practice. Providing accurate confidence intervals for the discrete distribution parameters is very difficult. So far, many asymptotic confidence intervals for the mean of Poisson distribution is provided. It is known that the coverag...
متن کاملView-dependent dynamics of articulated bodies
We propose a method for view-dependent simplification of articulated-body dynamics, which enables an automatic trade-off between visual precision and computational efficiency. We begin by discussing the problem of simplifying the simulation based on visual criteria, and show that it raises a number of challenging questions. We then focus on articulated-body dynamics simulation, and propose a se...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Comput. Graph. Forum
دوره 26 شماره
صفحات -
تاریخ انتشار 2007