由二维图像序列重建三维图像中的融合与拼接方法研究

项目名称： 由二维图像序列重建三维图像中的融合与拼接方法研究

项目编号： No.61272216

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 江泽涛

作者单位： 桂林电子科技大学

项目金额： 78万元

中文摘要： 本项目引入目标轮廓约束和特征权重度相结合的匹配概念，研究基于多尺度下图像序列的轮廓约束和特征权重度相结合的特征跟踪与精确立体匹配方法，从而实现局部与整体最优匹配结果，减少误匹配；目前三维信息计算大多基于非自标定的计算，本项目将选取图像序列的轮廓与特征权重度高匹配建立图像序列之间对应的关系，研究基于多尺度下图像序列自标定的三维信息快速计算方法，为精确匹配、融合拼接以及基于自标定的单目图像序列三维重建打下基础；本项目引入基于小波变换与非轮廓波变换相结合的融合拼接概念，研究对特征采用小波变换与对边缘轮廓采用非轮廓波变换的多尺度分层融合拼接相结合方法，同时研究多尺度下低频特征和高频奇异值特征的频域融合与基于廓边缘特征分层空域融合相结合的分区域图像拼接优化方法，更加强调图像融合拼接完整性，实现二维图像序列到三维重建中的无缝拼接。本项目研究内容对工业、农业以及军事都具有重要意义。

中文关键词： 图像拼接；图像融合；立体匹配；图像序列；剪切波

英文摘要： A new matching concept of the combination of the target contour constraints and feature weights is put forward. In this project, we intend to research feature tracking method and accurate three-dimensional matching method with image sequence features of the multi-scale based on the combination of the target outline constraints and feature weights. Thereby, achieve the optimal part and entire matching results, and reduce the mismatches by the method. The current three-dimensional information calculations are based on non-self-calibrated calculatios, but this project will select the outline of the image sequence and the high match of the feature to establish weights the corresponding relationship between the image sequences. The research is based on the fast calculation method of the three-dimensional information with multi-scale self-calibrated image sequences, which lay the foundation of accurate match, fusion stitch, and three-dimensional reconstruction of monocular image sequences based on self-calibration. The project will introduct the fusion stitch concept upon the combination of wavelet transform and nonsubsampled contourlet transform, research the method of the multi-scale hierarchical fusion stitched combination of the wavelet transform that used on the features and the nonsubsampled contourlet tran

英文关键词： Image stitch；image fusion；stereo matchin；image sequence；shearlet