基于相对仿射结构的新视点图像合成

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1、西安理工大学硕士学位论文algorithmbasedontheDelaunaytriangulationandtheepipolarconstrainttocompmethedensematchedpoints．ThenewproposedalgorithmfirstlysegmentseachimagesusingtheDelaneytriangulation、析mtheknownsetofmatchingpoints，andthensearchesotherpointsinthecorrespondingt

2、riangleusingthebilinearinterpolation．Accordingtotheobtainedsetofmatchingpoints，wedetectthemismatchedpointswiththeepipolarconstraint，andrevisethesepointsbasedoncorrelationcoefficient．Finally,wegetthedensecorrespondingpointsforthereferenceimage．Third，allalgori

3、thmtocompmethesynthesisviewbasedontherelativeaffinestructureiscompleted．Aftercomputingthedensematchedpoints，thecorrespondingrelativefortheeachmatchedpointsCanbecalculated．Asitisdifficulttodeterminethelocationofthevirtualcameraposition，thetraditionalviewsynth

4、esisalgorithmsapplytheparallaxrelationshipbetweenthecamerapositions．InOUrpaper,comparedwiththesesalgorithms，withthehelpoftheAlexa’Sspatialperspectivealgorithm，thevirtualcamerapositioncailbecomputedandachievethevirtualviewsynthesis．Keywords：Relativeaffinestru

5、cture；Delaunaytriangulation；homography；theepipolarconstraintII目录目录1前言⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．1虚拟现实技术的应用背景⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．2基于图像绘制算法分类⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．21．2．1无几何约束绘制算法(PureIBR)⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯31．2．2隐式几何约束绘制算法(IBRwithimplicitgeometry)⋯⋯⋯．41．2．3显式几何约束绘制算法(IBRwithexpli

6、citgeometry)⋯⋯⋯．41．3国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．41．3．1国内研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．5l-3．2国外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．61．4课题研究目的和意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．91．5本文的研究内容和章节安排⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．91．5．1本文的主要研究内容⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．91．5．2本文的结构安排⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．102相关理论基础⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯112．1引言⋯⋯⋯⋯⋯⋯

7、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．112．2外极线几何约束关系⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯112．2．1外极线平面⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．：．．1l2．2．2基本矩阵⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．122．3特征点查找和匹配算法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．132．3．1尺度不变特征变换匹配算法(SIFT)⋯⋯⋯⋯⋯⋯⋯⋯．132．3．2随机抽样一致算法(RANSAC)⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．142．4本章小结⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．153前景图像提取⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯1

8、73．1前景提取技术综述⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．173．2基于封闭解的抠图算法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．183．2．1算法的推导过程⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．183．2．2算法特点和优势⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．203．3基于单应映射的前景提取⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．223．3．1大规模背景转移⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．223．3．2彩色图像实例⋯⋯⋯⋯