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	Data normalization of single camera visual measurement network system (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012, November 10, 2012 - November 11, 2012, Guangzhou, China 作者: Zhang Y.-C.; Zhou J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 With the development of visual measurement system Normalize the measured coordinates into the same world coordinate system Apply in the three coordinate measuring machine(CMM) to have the simulation experiment So the data normalization has the advantage of more high precision. (2013) Trans Tech Publications the visual measurement system of single camera which applied in the imaging theory of optical feature points then get the global data the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm Switzerland. it has been widespread used in the modern production. Due to the limit of the environment in scene and achieve the overall measurement the visual measurement system of single camera could not measure the shield between the measured objects each other. Focus on this problem But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm present a kind of the the knowledge of measurement network based on the visual measurement of single camera set up the measurement network system via the multi-control points. Measure the optical feature points in every network control point via the visual measurement system of single camera
	TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Yao Z.; Han Q. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute most of them need plenty of samples and prior Knowledge. In this paper within a few evident samples (not too many) we can first get the texture feature of each component and the structures then select the approximately location randomly of the objects or patches of them then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.
	Extraction Knowledge Objects in Scientific Web Resource for Research Profiling 会议论文 OAI收割 2009 international conference on machine learning and cybernetics, 保定, 2009-07-12~2009-07-15 作者: Zhang Zhixiong; Xu Jian 收藏 \| 浏览/下载：30/0 \| 提交时间：2010/01/03 Knowledge Objects Research object Extraction Research Term Extraction Research Profiling Relation Extraction
	Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者: Wang Y.; Li J.; Li J.; Li J.; Wang Y. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 This paper proposes a new restoration method only using the single image information combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods our restoration technique is not only independent on predicted structure distributions of scene reflectance or detailed knowledge about the particular weather condition but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.
	EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING 演示报告 OAI收割来自: 2009 international conference on machine learning and cybernetics, 保定 ,2009 作者: Liu JH(刘建华); Liu JH(刘建华); Zhang ZX(张智雄) 收藏 \| 浏览/下载：27/0 \| 提交时间：2010/01/03 Knowledge Objects Research object Extraction Relation Extraction Research Term Extraction Research Profiling
	Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia 作者: Zhang D.; Zhang D. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science cognitive science artificial intelligence and others. In our study a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.