基于对象的预测递归视差估计  

Predict Recursion Disparity Match Based on Object

作　　者：刘佳[1] 安平[1] 张兆扬[1] 

机构地区：[1]上海大学通信与信息工程学院,上海200072

出　　处：《中国图象图形学报》2005年第11期1450-1453,共4页Journal of Image and Graphics

基　　金：上海市科委自然科学基金项目(04ZR14056);上海市教委发展基金项目(04AB56);上海市重点学科建设项目(T0102)

摘　　要：视差匹配是中间视合成、立体图像/视频编码及物体识别的关键步骤。提出了一种在大基线下基于对象的预测递归视差匹配算法。首先识别前景和背景区域,然后在对前景对象进行匹配的过程中,采用相邻块预测方法,提高了匹配的速度和精度。实验结果表明,本算法能得出良好的视差图。Disparity match is the key technology that realizes intermediate view synthesis, multiocular video coding and object recognition. In this paper, a predict recursion disparity match algorithm based on object is put forward. Firstly, foreground area is distinguished from background, and then the disparity of only object area is estimated with information of neighbor block. Experimental results show that this method can obtain disparity map with high quality.

关 键 词：视差估计 预测递归 图像分割 基于对象 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]