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Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions

机译：迈向基于模型的贝叶斯理论，以使用从不同位置拍摄的两个或多个图像来估计和识别参数化3D对象

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Bruno Cernuschi-frias; David B. Cooper; Yi-ping Hung; Student Member; Peter; N. Belhumeur;
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年度 1989
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专利

1. Toward a model-based Bayesian theory for estimating and recognizing parameterized 3-D objects using two or more images taken from different positions [J] . Cernuschi-Frias B., Cooper D.B. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1989,第10期

机译：迈向基于模型的贝叶斯理论，以使用从不同位置拍摄的两个或多个图像来估计和识别参数化3D对象
2. On recognizing and positioning curved 3-D objects from image contours [J] . Kriegman D.J., Ponce J. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1990,第12期

机译：从图像轮廓识别和定位弯曲的3D对象
3. A New Method of Detect Object and Estimate the Position and the Orientation from an Image Using a 3-D Model Having Feature Points [J] . Masashi Kayamuma, Masafumi Hagiwara 電気学会論文誌. C . 2000,第11期

机译：使用具有特征点的3D模型从图像检测物体并估计位置和方向的新方法
4. An Algorithm for Determining the Position and Orientation of 3-D Objects from Images Using Spectral Graph Theory [C] . Alexey Barinov, Alexey Zakharov International Conference on Urgent Problems of Up-to-Date Mechanical Engineering . 2015

机译：一种算法，用于使用光谱图理论从图像中从图像中确定3-D对象的位置和方向
5. Artificial neural networks and model-based recognition of three-dimensional objects from two-dimensional images. [D] . Chao, Chih-ho. 1994

机译：人工神经网络和基于模型的二维图像中三维对象的识别。
6. Multi-class maximum likelihood symmetry determination and motif reconstruction of 3-D helical objects from projection images for electron microscopy [O] . Seunghee Lee, Peter C. Doerschuk, John E. Johnson -1

机译：电子显微镜投影图像中3-D螺旋对象的多级最大似然对称测定与图案重建
7. 3-D OBJECT POSITION ESTIMATION AND RECOGNITION BASED ON PARAMETERIZED SURFACES AND MULTIPLE VIEWS [O] . Bruno Cernuschi-frias, T Peter N. Belhumeur, L David B. Cooper 2009

机译：基于参数化表面和多视图的3D对象位置估计和识别

Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions

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