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基于经验值ξ因子小样本图像二维至立体视图实现

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面向小样本目标,给出了一种基于经验值ξ因子小样本图像二维至立体视图实现的方法.1.目标小样本原始特征点提取,基于二次元等方法构建射映、旋转、缩放和平移等变换阵;2.获得基于小样本的构建因子旋转变换量和平移变换量;3.基于变换把平面点逆映射成三维空间点;4.设定经验值ξ因子、无限逼近创建贴片;5.经迭代构建最优目标.实验结果表明,本方法对小样本重建计算量低、效率较高、重建视图可视性好.
Implementation of Small Sample Images Two-dimensional to Stereo View Based on Experience Value ξ Factor
For small sample targets,a method for the implementation of small sample images two-dimensional to stereo view based on experience valueξfactor was proposed.Firstly,the original feature points of small samples were extracted,and the transformation arrays of projection,rotation,scaling and translation were constructed based on the quadratic element methods.Secondly,construction factor rotation transformation quantity and translation transformation quantity based on small samples were obtained.Thirdly,based on the transformation,the plane points were inversely mapped into three dimensional space points.Fourthly,the experience valueξfactor was set and the surface patch was created by infinite approximation.Finally,the optimal goal was constructed by iterating.The experimental results showed that the proposed method had low computational cost,high efficiency and good visibility of reconstructed view for small samples.

small samplesprojectiveself-calibrationpaster patchexperience valuesparse densification

张海军、陈映辉、钟向阳、卓汉逵

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广东省山区特色农业资源保护与精准利用重点实验室,广东 梅州 514015

嘉应学院 计算机学院,广东 梅州 514015

中山大学 计算机学院,广州 510006

嘉应学院 数学学院,广东 梅州 514015

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小样本 射影 自标定 贴片 经验值 稀疏稠密化

国家自然科学基金国家自然科学基金广东省自然科学基金重点项目广东省自然科学基金重点项目广东省普通高等学校人文社会科学省市共建重点研究基地项目广东省嘉应学院自然科学研究重点项目教育部产学合作协同育人项目广东省教育厅高等学校特色创新项目(2019)广东省嘉应学院自然科学研究项目

61171141615731452014B0101040012015A03030801818KYKT112017KJZ022018021530472019KTSCX1692021KJY05

2024

嘉应学院学报
嘉应学院

嘉应学院学报

CHSSCD
影响因子：0.25
ISSN：1006-642X
年,卷(期)：2024.42(3)
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