Video Object Extraction and Disparity Estimation in Multi-View Video Coding

ZHU Zhong-jie; JIANG Gang-yi; YU Mei; WU Xun-wei

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Video Object Extraction and Disparity Estimation in Multi-View Video Coding

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- Video Object Extraction and Disparity Estimation in Multi-View Video Coding
- Acta Electronica Sinica Vol. 32, Issue 5, Pages: 848-850(2004)
- 作者机构：
  
  1. 宁波大学电路与系统研究所,浙江,宁波,315211
  2. 浙江大学信息与电子工程系,浙江,杭州,310027
  3. 西安电子科技大学 ISN国家重点实验室,陕西,西安,710071
  4. 宁波大学电路与系统研究所浙江宁波,315211
  5. 浙江大学信息与电子工程系浙江杭州,310027
  6. 西安电子科技大学 ISN国家重点实验室陕西西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2004
- 稿件说明：
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ZHU Zhong-jie, JIANG Gang-yi, YU Mei, et al. Video Object Extraction and Disparity Estimation in Multi-View Video Coding[J]. Acta Electronica Sinica, 2004, 32(5): 848-850.
DOI：

ZHU Zhong-jie, JIANG Gang-yi, YU Mei, et al. Video Object Extraction and Disparity Estimation in Multi-View Video Coding[J]. Acta Electronica Sinica, 2004, 32(5): 848-850. DOI：

摘要

在单通道视频目标分割算法的基础上

首先提出一种多视点视频编码中的视频目标提取方案.然后提出一种基于多级块匹配视差估计算法.应用Moravec算子对视差矢量图进行检测

提取特征视差矢量并对其进行精确度检验.若特征视差矢量不够精确

则其所在块将重新进行小范围的块匹配.若块匹配误差仍太大则将其分裂为四个子块重新匹配.与传统块匹配算法相比

新方法能获得较为精确和平滑的视差场

提高重建后的图像质量.

Abstract

Based on algorithm for extracting video objects in one view-channel

a new scheme of extracting video objects in multi-view coding is proposed.A disparity estimation algorithm based on multi-level block matching is proposed.Moravec operator is used to find out characteristic disparity vectors in disparity images for precision confirmation.If a characteristic disparity vector is not precise enough

the block it belongs to will be matched again around the area indicated by the vector.If a block is still not matched precisely

it is split into four equal sub-blocks for block matching.Compared with traditional block-matching based algorithm

more precise and smooth disparity field can be acquired with the proposed algorithm

so that the quality of reconstructed image can be greatly improved.

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Dynamic Programming in Segments for Occlusion Detection/Stereo Matching

Hierarchical MRF/GRF Model Based Disparity Estimation and Segmentation for Stereo Images

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