机器视觉的进展:策略与应用

C. Archibald, E. Petriu
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引用次数: 5

摘要

基于随机抽样的姿态确定和改进,G. Roth和M. Levine稳健高击出估计和一致性,P. Meer基于模型的视觉例程合成,T. Messer电磁模型用于感知分组,T. Pun基于多层神经网络的多字体字母数字识别与拒绝函数,K. Yamada单眼成像系统中的三维物体模型合成Earnshaw和A.K.C. Wong基于微型计算机的监督系统,用于细胞毒性研究中有丝分裂指数的自动评分,M. Garza-Jinich等人用于牙印三维图像分割的多算子方法,J. Cote等人建模声纳距离传感器,D. Wilkes等人。
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Advances in Machine Vision: Strategies and Applications
Random sampling for pose determination and refinement, G. Roth and M. Levine robust high breakdown estimation and consensus, P. Meer model-based synthesis of vision routines, T. Messer electromagnetic models for perceptual grouping, T. Pun multiple-font alpha-numeric recognition using multi-layer neural networks with a rejection function, K. Yamada 3-D object model synthesis in a monocular imaging system, A.M. Earnshaw and A.K.C. Wong a microcomputer based supervised system for automatic scoring of mitotic index in cytotoxicity studies, M. Garza-Jinich et al a multi-operator approach for the segmentation of 3-D images of dental imprints, J. Cote et al modeling sonar range sensors, D. Wilkes et al.
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