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- 2016
单目图像内静态物体深度的自动测量方法
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Abstract:
提出了一种从普通单目相机拍摄的两幅图像中自动获取其中物体深度的方法。该方法首先保持相机的参数不变,相机沿光轴方向移动,在物距为u和u+d处各拍摄一张图像,然后采用局部二值拟合能量(local binary fitting energy, LBF)模型的方法分割出图像中的物体,再将物体像的熵的相对变化率和加权Hu氏不变矩结合起来实现图像内物体的自动匹配,最后运用本文推导的公式计算出各个物体深度。实验结果表明了该方法的有效性
[1] | Li C M,Kao C,Gore J,et al. Minimization of Region-Scalable Fitting Energy for Image Segmentation[J]. <em>IEEE Transactions on Image Processing</em>,2008,17(10):1940-1949 |
[2] | He Peipei,Wan Youchuan, Gao Xianjun,et al. Street View Images Matching Algorithm Based on Color Scale-Invariant Feature Transform[J]. <em>Geomatics and Information Science of Wuhan University</em>, 2014, 39(7):867-872(何培培, 万幼川,高贤君,等.基于彩色信息尺度不变特征的街景影像匹配[J].武汉大学学报·信息科学版, 2014,39(7):867-872) |
[3] | Du Bo, Zhang Liangpei, Li Pingxiang,et al. A Constrained Energy Minimization Method in Subpixel Target Detection Based on Minimization Noise Fraction[J]. <em>Joural of Image and Graphic</em>, 2009,14(9):1850-1857(杜博, 张良培, 李平湘, 等.基于最小噪声分离的约束能量最小化亚像元目标探测方法[J]. 中国图象图形学报, 2009,14(9):1850-1857) |
[4] | Shi Q, Zhang L, Du B. Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image Classification[J]. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 2013, 51(9):4800-4815 |
[5] | Pentland A P. A New Sense for Depth of Field[J]. <em>IEEE Transaction on Pattern Analysis and Machine Intelligence</em>, 1987, 9(4):523-531 |
[6] | Zhou Shaojie, Sim T. Defocus Map Estimation from a Single Image[J]. <em>Pattern Recognition</em>, 2011, 44(9):1852-1858 |
[7] | Li C M,Kao C,Gore J,et al. Implicit Active Contours Driven by Local Binary Fitting Energy[C]. IEEE Conference on Computer Vision and Pattern Recognition, Minnesota,USA,2007 |
[8] | Liu Qiong, Yang You, Gao Yue, et al. A Bayesian Framework for Dense Depth Estimation Based on Spatial-Temporal Correlation[J]. <em>Neurocomputing</em>, 2013,104(3):1-9 |
[9] | Sellent A, Favaro P. Optimized Aperture Shapes for Depth Estimation[J]. <em>Pattern Recognition Letters</em>, 2014,40(4):96-103 |
[10] | Sun Zhanli, Lam K M, Gao Qingwei. Depth Estimation of Face Images Using the Nonlinear Least-Squares Model[J]. <em>IEEE Transaction on Image Processing</em>, 2013,22(1):17-30 |
[11] | Tang Huiming, Hu Zheng, Zhi Chenjiao. Measure Method of Depth, Depth of Field and Object Size Based on Monocular Camera:CN201110007172.8[P]. 2012-11-21(唐慧明,胡铮,支晨蛟.基于单目摄像机的深度、深度场及物体大小的测量方法:CN201110007172.8[P]. 2012-11-21) |
[12] | Li Aixia,Guan Zequn,Feng Tiantian. A Novel Method on Manifold for Multi-image Matching[J]. <em>Geomatics and Information Science of Wuhan University</em>, 2012, 37(11):1303-1306(李爱霞,关泽群,冯甜甜.一种利用流形学习进行多影像匹配的方法[J]. 武汉大学学报·信息科学版, 2012, 37(11):1303-1306) |
[13] | Du Bo, Zhang Lefei, Li Lingxiang,et al. Discrimination Manifold Learning Approach for Hyperspectral Image Dimension Reduction[J]. <em>Acta Photonica Sinica</em>, 2013, 42(3):320-325(杜博, 张乐飞, 张良培, 等. 高光谱图像降维的判别流形学习方法[J]. 光子学报, 2013, 42(3):320-325) |
[14] | Gonzalez R C, Woods R E. Digital Image Processing(Third Edition)[M]. Beijing:Publishing House of Electronics Industry, 2011 |
[15] | Hu M K. Visual Pattern Recognition by Moment Invariants[J]. <em>IRE Transactions on Information Theory</em>, 1962, 8(2):179-182 |
[16] | Wang Yaoming. Moment Function on Images:Principles, Algorithms and Applications[M]. Shanghai:East China University of Science and Technology Press, 2002(王耀明.图像的矩函数:原理、算法及应用[M].上海:华东理工大学出版社,2002) |