Solving Point and Plane vs. Orthogonal Polyhedra Using the Extreme Vertices Model (evm)

نویسندگان

  • Antonio Aguilera
  • Dolors Ayala
چکیده

In a previous work, Orthogonal Polyhedra (OP) were proposed as geometric bounds in CSG. Primitives in the CSG model were approximated by their respective bounding boxes. The polyhedrical bound for the CSG object was obtained by applying the corresponding Boolean Algebra to those boxes. Also in that paper, a specific and very concise model for representing and handling OP was presented: the Extreme Vertices Model (EVM). The EVM allows simple and robust algorithms for performing the most usual and demanding tasks. This paper deals with the classification of point, and plane vs. OP. These operations can be done on the EVM in linear time. Furthermore, a very important feature of EVM algorithms is that, even though their input data (i.e., vertices' coordinates) can be floating-point values, no time-consuming floating-point arithmetic is ever performed (except when explicitly noted), so there are absolutely no propagation errors due to partial results (which do not exist). All results are obtained by just classifying and selecting vertices' coordinates of the initial data.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Faster ASV Decomposition for Orthogonal Polyhedra, Using the Extreme Vertices Model (EVM)

The alternating sum of volumes (ASV) decomposition is a widely used technique for converting a b-rep into a CSG model, with all its implicit uses and advantages -like form feature recognition, among others. The obtained CSG tree has convex primitives at its leaf nodes, while the contents of its internal nodes alternate between the setunion and set-difference operators. This paper first shows th...

متن کامل

Erosion and Dilation on 2-D and 3-D Digital Images: A New Size-Independent Approach

This paper presents a new approach to achieve elementary neighborhood operations on both 2D and 3D binary images by using the Extreme Vertices Model (EVM), a recent orthogonal polyhedra representation applied to digital images. The operations developed here are erosion and dilation. In contrast with previous techniques, this method do not use a voxel-based approach but deal with the inner secti...

متن کامل

Efficient Computation of Regularized Boolean Operations on the Extreme Vertices Model in the n-Dimensional Space (nD-EVM)

The objective behind this work is to describe the Extreme Vertices Model in the n-Dimensional Space (nD-EVM) and the way it represents nD Orthogonal Pseudo Polytopes (nD-OPPs) by considering only a subset of their vertices: the Extreme Vertices. There are presented the Regularized Boolean Operators and the way they assure the dimensional homogeneity. Algorithms for performing Regularized Boolea...

متن کامل

Contents 1 The Extreme Vertices Model ( EVM ) for Orthogonal Polyhedra 42

Geometric Modeling is that eld within Computer Science which is concerned with the eecient processing of geometric information on a computer. It combines techniques from Computer Science, Mathematics and Engineering and attracts researchers with diierent scientiic backround. Application areas of Geometric Modeling include CAD/CAM, Computer Graphics, Medical Imaging and Scien-tiic Visualization....

متن کامل

Efficient Boundary Extraction from Orthogonal Pseudo-Polytopes: An Approach Based on the nD-EVM

This work is devoted to contribute with two algorithms for performing, in an efficient way, connected components labeling and boundary extraction from orthogonal pseudo-polytopes. The proposals are specified in terms of the extreme vertices model in the n-dimensional space nDEVM . An overview of the model is presented, considering aspects such as its fundamentals and basic algorithms. The tempo...

متن کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998