中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	Rotation Scaling and Translation Invariants of 3D Radial Shifted Legendre Moments 期刊论文 OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 169-180 作者: Mostafa El Mallahi; Jaouad El Mekkaoui; Amal Zouhri; Hicham Amakdouf; Hassan Qjidaa \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/02/23 3D radial complex moments 3D radial shifted Legendre radial moments radial shifted Legendre polynomials 3D image reconstruction 3D rotation scaling translation invariants 3D image recognition computational complexities.
	Radial Hahn Moment Invariants for 2D and 3D Image Recognition 期刊论文 OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 277-289 作者: Mostafa El Mallahi; Amal Zouhri; Anass El Affar; Ahmed Tahiri; Hassan Qjidaa \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2021/02/23 Orthogonal moments two-dimensional and three-dimensional (2D and 3D) radial Hahn moments Hahn polynomials image reconstruction 2D and 3D rotation invariants.
	Efficient optimization approach for fast GPU computation of Zernike moments 期刊论文 OAI收割 Journal of Parallel and Distributed Computing, 2018, 卷号: 111, 页码: 104-114 作者: Xuan, Y. B.; Li, D. Y.; Han, W. \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/09/17 Zernike moments GPU Reordering image pixels Addressing diagonal in advance recognition algorithm features face Computer Science
	Vision-based fuzzy controller for quadrotor tracking a ground target 会议论文 OAI收割 International Conference on Modern Materials and Tecnologies, 意大利佩鲁贾, 2016-06-05~2016-06-09 作者: Chen, Xuchao; Cao, Zhiqiang; Yang, Yuequan; Zhou, Chao 收藏 \| 浏览/下载：26/0 \| 提交时间：2016/06/20 Quadrotor Vision Tracking Image Moments
	Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文 OAI收割 2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Image registration is a key technique in pattern recognition and image processing and it is widely used in many application areas such as computer vision remote sensing image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then the well match points are used to estimate the best affine transform parameters by least squares minimization. At last the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
	a new svm-based image watermarking using gaussian-hermite moments 期刊论文 OAI收割 Applied Soft Computing, 2011, 卷号: 12, 期号: 2, 页码: - Xiang-yang Wang; E-no Miao; Hong-ying Yang \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2013/10/08 Image watermarking geometric attack Support vector machine Gaussian-Hermite moments nonsubsampled contourlet transform
	A novel starting-point-independent wavelet coefficient shape matching (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Hu S.; Zhu M.; Wu C.; Song H.-J. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 In many computer vision tasks in order to improve the accuracy and robustness to the noise wavelet analysis is preferred for the natural multi-resolution property. However the wavelet representation suffers from the dependency of the starting point of the sampled contour. For overcoming the problem that the wavelet representation depends on the starting point of the sampled contour the Zernike moments are introduced and a novel Starting-Point-lndependent wavelet coefficient shape matching algorithm is presented. The proposed matching algorithm firstly gains the object contours and give the translation and scale invariant object shape representation. The object shape representation is converted to the dyadic wavelet representation by the wavelet transform. And then calculate the Zernike moments of wavelet representation in different scales. With respect to property of rotation invariant of Zernike moments consider the Zernike moments as the feature vector to calculate the dissimilarity between the object and template image which overcoming the problem of dependency of starting point. The experimental results have proved the proposed algorithm to be efficient precise and robust.
	Feature-based Registra- tion Algorithm Using Invariant Line Moments 期刊论文 OAI收割光子学报, 2003, 卷号: 32, 期号: 9, 页码: 1114-1073 Yang Jing; Qiu Jiang; Wang Yanfei; Liu Bo 收藏 \| 浏览/下载：1003/37 \| 提交时间：2010/01/12 Line invariant moments Feature extraction Image registration Satellite imagery