图象光流场计算技术研究进展  

The Current Situation and Trends of Optical Flow Estimation

作　　者：陈震[1,2] 高满屯[1] 沈允文[1] 

机构地区：[1]西北工业大学机械系 [2]南昌航空工业学院机械系,南昌330034

出　　处：《中国图象图形学报（A辑）》2002年第5期434-439,共6页Journal of Image and Graphics

基　　金：航空基础科学基金项目 (99F5 3 0 65 );南昌航空工业学院测试技术与控制工程研究中心开放基金 (2 0 0 1-15)

摘　　要：时变图象光流场计算技术是计算机视觉中的重要研究内容 ,也是当今研究的热点问题 .为了使人们对该技术有一个较全面的了解 ,因而对时变图象光流场计算技术的研究和进展做了较系统的论述 ,首先分别列举了灰度时变图象和彩色时变图象的光流场计算方法 ,并对这些方法进行了分类 ,然后总结了出目前图象光流场计算中存在的几个问题 。Optical flow estimation is a low level phase of motion recovery problem. Its output is a 2D projection of the velocity field on the image plane, which is analyzed further to get high level motion descriptions. A number of approaches have been developed for the optical flow estimation. The gradient based approach for the optical flow estimation is one of the importance kinds, it assumes brightness conservation under motion. This provides one constraint for the two unknown local components of the velocity vector. It is ill determined system of equation. A color image has some significant advantages over black and white image: it can give more optical information. Therefore, the colors images may be improve the solution of the optical flow estimation problem.The paper makes an introductory review on the optical flow estimation including the last achievement in this field. First, give the general concepts and fundamental principles of optical flow. Then, some methods for optical flow estimation are listed, black and white image and color image. Finally, make a discussion on some open problems and point out possible directions for further research.

关 键 词：计算技术 研究进展 光流场 彩色图象 图象处理 计算机视觉 灰度时变图象 彩色时变图象 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]