Progressive encoding of binary voxel models using pyramidal decomposition

نویسندگان

  • Musik Kwon
  • Chang-Su Kim
  • Kyoung Mu Lee
  • Sang Uk Lee
چکیده

In this paper, we propose a progressive encoding algorithm for the geometric information of a 3D object, which is represented by binary voxels. Using the morphological pyramidal decomposition, the proposed algorithm first generates the multi-resolution models of a 3D object. Then, each resolution model is predicted from its lower resolution model, and the prediction errors are encoded using an arithmetic coding technique. To yield high compression ratio, each model is partitioned into the inside, boundary, and outside regions based on the lower resolution model. This partitioning method greatly reduces the amount of data to be encoded, since the prediction errors are compactly concentrated near the boundary region. Moreover, the neighborhood relation of each boundary voxel is used as the context for the arithmetic coding to further increase the compression efficiency. It is demonstrated by extensive simulation results that the proposed algorithm provides better coding gain than the conventional voxel and mesh compression algorithms. 2003 Elsevier Inc. All rights reserved.

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

Progressive Encoding of Binaray Voxels with Adaptive Pyramidal Decomposition

We propose a progressive encoding method for geometric information of 3D object model, which is represented with binary voxels. For progressive transmission, we create multi-resolution model of the 3D models by pyramidal decomposition. However, a simple pyramidal decomposition, which decimates 3D model by 3D sampling, can not preserve the detailed structure of the 3D model, which is very sensit...

متن کامل

Receptive Field Encoding Model for Dynamic Natural Vision

Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...

متن کامل

Impaired Memory and Evidence of Histopathology in CA1 Pyramidal Neurons through Injection of Aβ1-42 Peptides into the Frontal Cortices of Rat

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disorders, which has much benefited from animal models to find the basics of its pathophysiology. In our previous work (Haghani, Shabani, Javan, Motamedi, & Janahmadi, 2012), a non-transgenic rat model of AD was used in electrophysiological studies. However, we did not investigate the histological aspects in the ...

متن کامل

Implementational Aspects of the Contourlet Filter Bank and Application in Image Coding

This paper analyzed the implementational aspects of the contourlet filter bank (or the pyramidal directional filter bank (PDFB)), and considered its application in image coding. First, details of the binary tree-structured directional filter bank (DFB) are presented, including a modification to minimize the phase delay factor and necessary steps for handling rectangular images. The PDFB is view...

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:
  • J. Visual Communication and Image Representation

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2004