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	Study on the Size Dependence of Calibration Parameters of the New Local Approach Model for Cleavage Fracture 期刊论文 OAI收割 PHYSICAL MESOMECHANICS, 2020, 卷号: 23, 期号: 4, 页码: 324-331 作者: Shen AR; Li PC; Yu ZS; Qian GA(钱桂安); Berto F \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2020/11/30 Cleavage fracture New local approach model Weibull parameters Notch size
	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).
	Animated models coarsening with local area distortion and deformation degree control (EI CONFERENCE) 会议论文 OAI收割 International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China 作者: Zhang S.; Zhao J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 In computer graphics applications mesh coarsening is an important technique to alleviate the workload of visualization processing. Compared to the extensive works on static model approximation very little attentions have been paid to animated models. In this paper we propose a new method to approximate animated models with local area distortion and deformation degree control. Our method uses an improved quadric error metric guided by a local area distortion measurement as a basic hierarchy. Also we define a deformation degree parameter to be embedded into the aggregated quadric errors so areas with large deformation during the animation can be successfully preserved. Finally a mesh optimization process is proposed to further reduce the geometric distortion for each frame. Our approach is fast easy to implement and as a result good quality dynamic approximations with well-preserved sharp features can be generated at any given frame. 2010 SPIE.
	A new algorithm to approximate deforming models based on torsion detection (EI CONFERENCE) 会议论文 OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者: Zhang S.; Wang G. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 In this paper we propose a new method to approximate deforming models based on torsion detection. We propose the use of surface torsion to represent local features on the original model and consider it as an additional weight factor when calculating the edge contraction cost during the simplification process. The approximations of the original deforming models are generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame the contraction order in the current frame is adjusted according to the deformation degree. Our approach is fast easy to implement and as a result good quality approximations with well-preserved fine details can be generated at any given frame. 2010 IEEE.