Mesh simplification using ellipsoidal schema for isotropic quantization of face-normal vectors

نویسندگان

  • Subramaniam Ganesan
  • Kenneth Ong
چکیده

In this paper, we present a method for simplification of arbitrary 3D meshes that is based on Isotropic Quantization of face-normal vectors. There are three stages. Firstly, a codebook that contains the unique face-normal vectors of the 3D mesh is generated using our Ellipsoidal Schema. Secondly, the polygons of the mesh are grouped into patches: based on the codebook vectors and the locality information of the polygons. Polygons that have isotropic and geographical similarities are grouped together. And the resulting patch is approximately a flat plane with its corresponding codebook vector as its normal. In the last stage, our mesh simplification technique re-triangulates the patch, in which the algorithm only considers the vertices on the borders of the patch. We demonstrate that our technique yields better results when applied with multiple iterations than when using a single iteration. Thus using patch-wise quantization, our technique is able to simplify 3D meshes.

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

Model Simplification Through Refinement

As modeling and visualization applications proliferate, there arises a need to simplify large polygonal models at interactive rates. Unfortunately existing polygon mesh simplification algorithms are not well suited for this task because they are either too slow (requiring the simplified model to be pre-computed) or produce models that are too poor in quality. These shortcomings become particula...

متن کامل

Disguised Face Recognition by Using Local Phase Quantization and Singular Value Decomposition

Disguised face recognition is a major challenge in the field of face recognition which has been taken less attention. Therefore, in this paper a disguised face recognition algorithm based on Local Phase Quantization (LPQ) method and Singular Value Decomposition (SVD) is presented which deals with two main challenges. The first challenge is when an individual intentionally alters the appearance ...

متن کامل

R-Simp: Model Simplification In Reverse, A Vector Quantization Approach

Just as colour image quantization can be viewed as simplification of a three dimensional colour in a two dimensional image, model simplification can be viewed as quantization of three dimensional normal vectors on a two dimensional surface. Thus many of the approaches used in quantization can be applied to the problem of model simplification. We present a model simplification algorithm that is ...

متن کامل

Three-dimensional interactive virtual endoscopy

Virtual endoscopy is a new development of diagnostic imaging, covering a wide range of potential clinical applications. This paper introduced a system framework for virtual endoscopy. Our research efforts concentrated on mesh smoothing, automated centerline extraction and view-dependent level-of-detail rendering techniques. First, the fairing surface was obtained by smoothing the normal vectors...

متن کامل

Compression of Arbitrary Triangle Meshes With Attributes For Selective Refinement

We present a method for compact encoding of attributes such as normal vectors defined on a triangle mesh of arbitrary topology suitable in the context of view-dependent simplification. It is based on the recently introduced CAME data structure (Compressed Adaptive Multiresolution Encoding). In accordance with the vertex hierarchy defined by mesh simplification, we define an attribute hierarchy ...

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 2006