中国科学院机构知识库网格系统: 检索

Fast simulations of a large number of crystals growth in centimeter-scale during alloy solidification via nonlinearly preconditioned quantitative phase-field formula 期刊论文 OAI收割
COMPUTATIONAL MATERIALS SCIENCE, 2018, 卷号: 147, 页码: 338-352
作者: Gong, TZ; Chen, Y; Cao, YF; Kang, XH

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收藏 | 浏览/下载：193/0 | 提交时间：2018/06/05

X-ray Radiography Adaptive Mesh Refinement Sample Directional Solidification Al-cu Alloy Dendritic Growth Polycrystalline Solidification Efficient Computation Initial Transient Model Microstructures

An optimization method for improving the accuracy of centroid computation based on Shack-Hartmann wavefront sensor 会议论文 OAI收割
作者: Xiaoyu Zhang [1,2,3], Caixia Wang[1,2]

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收藏 | 浏览/下载：22/0 | 提交时间：2018/12/20

adaptive optics(AO),Shack-Hartmann wavefront sensor, centroid computation, threshold, CoG

Cascade Learning by Optimally Partitioning 期刊论文 OAI收割
ieee transactions on cybernetics, 2016, 期号: 99
作者: Pang, Yanwei; Cao, Jiale; Li, Xuelong

收藏 | 浏览/下载：53/0 | 提交时间：2016/10/31

Adaptive boosting Classification (of information) Computation theory Costs Face recognition Iterative methods Object detection Object recognition Optimal systems

A parallel alternating direction method with application to compound l(1)-regularized imaging inverse problems 期刊论文 OAI收割
information sciences, 2016, 卷号: 348, 页码: 179-197
作者: He, Chuan; Hu, Changhua; Li, Xuelong; Yang, Xiaogang; Zhang, Wei

收藏 | 浏览/下载：26/0 | 提交时间：2016/08/19

Parallel alternating direction method of multipliers (PADMM) Primal-dual splitting Image deblurring MRI reconstruction Distributed computation Adaptive parameter estimation

Adaptive coupled variation model and its GPU implementation 期刊论文 OAI收割
仪器仪表学报, 2013, 卷号: 34, 期号: 11
作者: Yuanfeng Lian; Yan Zhao; Huiguang He

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收藏 | 浏览/下载：19/0 | 提交时间：2018/02/14

Graphic Processing Unit (Gpu) General Purpose Computation Diffusion Tensor Adaptive Coupled Variation Model

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：63/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Finite element approximations of nonlinear eigenvalue problems in quantum physics 期刊论文 OAI收割
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2011, 卷号: 200, 期号: 21-22, 页码: 1846-1865
作者: Chen, Huajie; He, Lianhua; Zhou, Aihui

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收藏 | 浏览/下载：23/0 | 提交时间：2018/07/30

Adaptive computation Convergence Complexity Density functional theory Finite element Nonlinear eigenvalue problem

Phase-field modeling of free dendritic growth with adaptive finite element method 期刊论文 OAI收割
Acta Physica Sinica, 2009, 卷号: 58, 期号: 1, 页码: 390-398
Y. Chen; X. H. Kang; D. Z. Li

收藏 | 浏览/下载：49/0 | 提交时间：2012/04/13

free dendritic growth phase-field adaptive finite element method binary alloy efficient computation solidification simulation microstructures

Unified phase-field model for epitaxial growth of multi-scale three-dimensional islands on insulating surfaces 期刊论文 OAI收割
PHYSICA B-CONDENSED MATTER, 2009, 卷号: 404, 期号: 21, 页码: 4303
Xu, YC; Liu, BG

收藏 | 浏览/下载：29/0 | 提交时间：2013/09/23

ADAPTIVE MESH REFINEMENT DENDRITIC GROWTH STRAINED ISLANDS TIO2(110) SOLIDIFICATION COMPUTATION NUCLEATION TRANSITION CLUSTERS FILMS

Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE) 会议论文 OAI收割
16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China
作者: Zhang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：17/0 | 提交时间：2013/03/25

Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation it can be applied in many conditions based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE. not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy some types of texture can also be segmented well