摘要
为了有效地恢复遮挡点,假设相机为正投影模型,提出了一种基于秩1的遮挡点恢复方法。该方法利用所有图像点组成一个秩1的矩阵,并利用该特性构造一个投影矩阵,利用该投影矩阵求到遮挡点,再将求到的遮挡点代替图像中的遮挡点,经过多次迭代,最后求到遮挡点的真实图像位置。模拟实验和真实实验表明:该方法具有鲁棒性好、收敛性好及误差小等优点。
Under orthographic projection,an occlusion recovery method based on rank 1 is presented to recovery occlusions. The projective matrix that is from all the image points including all the occlusions that compose a matrix with rank 1 is used to find all the occlusions. At the same time, the obtaining occlusions substitute the occlusions in image. After several times iterations, the real positions of the occlusions can be found. Both simulation and real experiments show that the method is robust and has good property of convergence with small error's.
出处
《传感器与微系统》
CSCD
北大核心
2010年第10期39-42,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60805016)
高等学校博士学科点专项科研基金资助项目(200807181007)
关键词
遮挡点恢复
正投影
秩1
occlusion recovery
orthographic projection
rank 1