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基于亮度和运动联合分割的位移场估计新算法
引用本文:汤力,张兆扬.基于亮度和运动联合分割的位移场估计新算法[J].应用科学学报,2002,20(1):42-46.
作者姓名:汤力  张兆扬
作者单位:上海大学通信与信息工程学院, 上海 200072
基金项目:国家自然科学基金资助项目(60172020);上海市教委重点项目(S990123)
摘    要:运动估计技术是计算机视觉和视频信号处理的关键技术之一,近年来广泛应用于各种视频通信标准中.由于表观运动和实际运动的差异以及孔径问题和遮挡问题的存在,使运动估计难以精确.为此提出一种基于亮度和运动联合分割的位移场估计算法,试图用分割的结果指导运动估计过程,获得了满意的结果.

关 键 词:运动估计  块匹配法  图象分割  贝叶斯方法  
文章编号:0255-8297(2002)01-0042-05
收稿时间:2000-07-13
修稿时间:2001-06-11

A New Algorithm for Displacement Field Estimate Based on Joint Luminance and Motion Segmentation
TANG Li,ZHANG Zhao Yang.A New Algorithm for Displacement Field Estimate Based on Joint Luminance and Motion Segmentation[J].Journal of Applied Sciences,2002,20(1):42-46.
Authors:TANG Li  ZHANG Zhao Yang
Institution:School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
Abstract:Motion estimate is a key technology in computer vision and video signal processing. It is widely used in international standards for video communication. Due to the difference between real motion and apparent motion and the existence of the aperture and the occlusion problem, it seems difficult to obtain the precise motion field. In this paper, we present a displacement field estimate algorithm based on joint luminance and motion segmentation to obtain a satisfactory result.
Keywords:motion estimate  block matching  image segmentation  Bayesian method
本文献已被 CNKI 维普 万方数据 等数据库收录!
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