3D Real Object Recognition on the Basis of Moment Invariants and Neural Networks

机译：基于矩不变性和神经网络的3D实物识别

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In this study, recognition system of the completely visible 3D solid objects of the real life is presented. The synthesis of analyzing two-dimensional images that are taken from different angle of views of the objects is the main process that leads us to achieve our objective. The selection of "Good" features those satisfying two requirements (small intraclass invariance, large interclass separation) is a crucial step. A flexible recognition system that can compute the good features for a high classification is investigated. For object recognition regardless of its orientation, size and position feature vectors are computed with the assistance of nonlinear moment invariant functions. After an efficient feature extraction, the main focus of this study, recognition performance of artificial classifiers in conjunction with moment-based feature sets, is introduced.

机译：在这项研究中，提出了现实生活中完全可见的3D实体对象的识别系统。从物体的不同角度拍摄的二维图像分析的综合是导致我们实现目标的主要过程。选择满足两个要求（较小的类内不变性，较大的类间间距）的“良好”特征是至关重要的一步。研究了一种可以为高分类计算出良好特征的灵活识别系统。对于物体识别，无论其方向如何，都借助非线性矩不变函数来计算尺寸和位置特征向量。在有效的特征提取之后，本研究的主要重点是结合基于矩的特征集的人工分类器的识别性能。

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《International Symposium on Computer and Information Sciences(ISCIS 2004); 20041027-29; Kemer-Antalya(TR)》|2004年|P.410-419|共10页
会议地点 Kemer-Antalya(TR)
作者
Muharrem Mercimek; Kayhan Gulez;
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Yildiz Technical University, Electrical-Electronics Faculty Electrical Engineering Department 34349 Besiktas, Istanbul, Turkey;

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正文语种 eng
中图分类计算技术、计算机技术;
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2. Affine Invariant Descriptor and Recognition of 3d Objects Using Neural Networks and Principal Component Analysis [J] . M. Elhachloufi, A. El Oirrak, D. Aboutajdine, Journal of Theoretical and Applied Information Technology . 2010,第2期

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3. AN EFFICIENT HUMAN FACE RECOGNITION SYSTEM USING PSEUDO ZERNIKE MOMENT INVARIANT AND RADIAL BASIS FUNCTION NEURAL NETWORK [J] . JAVAD HADDADNIA, KARIM FAEZ, MAJID AHMADI International Journal of Pattern Recognition and Artificial Intelligence . 2003,第1期

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4. 3D Real Object Recognition on the Basis of Moment Invariants and Neural Networks [C] . Muharrem Mercimek, Kayhan Gulez International Symposium on Computer and Information Sciences . 2004

机译：3D基于时刻不变性和神经网络的真实对象识别
5. A hybrid pattern recognition paradigm using moment invariants and polynomial networks for segmenting objects in multi-spectral imagery. [D] . Drake, Keith Carlisle. 1993

机译：使用矩不变性和多项式网络的混合模式识别范例，用于在多光谱图像中分割对象。
6. Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks [O] . Huy Hieu Pham, Houssam Salmane, Louahdi Khoudour, 2019

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7. Object Recognition System of Sonar Image Based on Multiple Invariant Moments and BP Neural Network [O] . Jianning Han, Peng Yang, Lu Zhang 2014

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8. Zernike Moments and Rotation Invariant Object Recognition. A Neural NetworkOriented Case Study [R] . Krekel, P. F. 1992

机译：Zernike矩和旋转不变对象识别。面向神经网络的案例研究

3D Real Object Recognition on the Basis of Moment Invariants and Neural Networks

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