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| 1 | Interactive visualization of 3D lunar model with texture and labels,using Chang'E-1 data显示文摘A lunar model with real texture can be obtained by mapping texture onto the lunar mesh,but the convergence in the polar regions of lunar model is a problem.In this paper,we build a 3D lunar model and solve this problem by texture partitioning and transforming.The whole lunar map is divided into four images and the polar images are transformed to circular textures before mapped to the semi-regular(SR) lunar mesh which is obtained through denoising,triangulating,subdividing and resampling the laser altimetry(LAM) data.Hundreds of lunar labels are classed into three levels and added gradually to the lunar model considering the distance between the viewpoint and the moon center.Through some techniques such as mip-map and view-dependent,the lunar model with textures and labels can be interactively browsed on a personal computer(PC) in real time. | DONG YaFeng SUN YanKui TANG ZeSheng | 2013 | Science China(Physics,Mechanics & Astronomy)2013，56，10： | 6 |
| 2 | The Applications of Wavelets in Hierarchical Representations and Smoothing of Curves and Surfaces显示文摘TheApplicationsofWaveletsinHierarchicalRepresentationsandSmoothingofCurvesandSurfaces①SunYankuiZhuXinxiongMaLingBeijingUnvier... | Sun Yankui Zhu Xinxiong Ma Ling Beijing Unviersity of Aeronautics and Astronautics | 1997 | Computer Aided Drafting,Design and Manufacturing1997，7，2： | 2 |
| 3 | Wavelet based fairing of B-spline surface 显示文摘 | Sun Yankui Zhu Xinxiong | 1999 | Chinese Journal of Aeronautics1999，12，3： | 1 |
| 4 | Wavelet based fairing of B-spline sur- face显示文摘 | Sun Yankui Zhu Xinxiong | 1999 | Chinese Journal of Aeronautics1999，12，3： | 1 |
| 5 | Wavelet smoothing method of B-spline curve显示文摘 | SUN Yankui ZHU Xinxiong | 1999 | Joural of Engineering Graphics1999，20，01： | 1 |
| 6 | Two-dimensional station- ary dyadic wavelet transform, decimated dyadic discrete wavelet transform and the face recognition application显示文摘 | Sun Yankui Chen Yong Feng Hao | 2011 | International Journal of Wavelets Multiresolution and Infor- mation Processing2011，9，3： | 1 |
| 7 | Crystal and Molecular Structure of Mo_2[(μ_2-S)SCNEt_2]_2(S_2CNEt_2)_2显示文摘Crystal structure of the title complex was determined by X-ray diffraction method. It crystallizes in space group P21/n with cell dimensions:α=10. 041(5) , b=10. 719(4) , c= 1. 5671(6) nm, β=104. 36(3)°. The structure was solved by Patterson method. The final residual factor is R=0. 050. | Sun Chunting, Huang Qijun, Li Shuqin and Wang Tiegang(Department of Chemistry, Jilin University, Changchun)Zhang Guangren, Qu Xiangbang, Tang Zhongkun, He Guoqiang and Shen Yankui (Logistics Engineering Institute, Chongqing) Jin Zhongsheng and Wei Gecheng (Changchun Institute of Applied Chemistry, Changchun) | 1991 | Chemical Research in Chinese Universities1991，7，2： | 0 |
| 8 | AUTOMATED EXTRACTION OF THE INNER CONTOUR OF THE ANTERIOR CHAMBER USING OPTICAL COHERENCE TOMOGRAPHY IMAGES显示文摘Manual analysis of anterior segment optical coherence tomography(AS-OCT)images is fairly time consuming,and inter-observer reproducibility cannot be guaranteed.Therefore,automated analysis methods of AS-OCT images are necessary in clinical applications.This paper presents a novel approach to extract the inner contour of the anterior chamber automatically from AS-OCT images using a'divide-and-conquer'strategy.Werstnd the anchor points in an image and these points are used to divide the image into subimages where the iris,lens and cornea are located.Then the endothelial surface of the cornea,lens surface and iris surface are obtained from these subimages with dierent schemes,and they are merged together to obtain the complete inner contour.In our method,the endothelial surface of the cornea istted by using three circular arcs under continuity constraints.Experiments show that the proposed algorithm can extract the inner contour of the anterior chamber from AS-OCT images accurately in real time. | PENG SHU YANKUI SUN | 2012 | Journal of Innovative Optical Health Sciences2012，5，4： | 0 |
| 9 | 3D automatic segmentation method for retinal optical coherence tomography volume data using boundary surface enhancement显示文摘With the introduction of spectral-domain optical coherence tomography(SD-OCT),much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT.Thus,there is a critical need for the development of three-dimensional(3D)segmentation methods for processing these data.We present here a novel 3D automatic segmentation method for retinal OCT volume data.Brie°y,to segment a boundary surface,two OCT volume datasets are obtained by using a 3D smoothingfilter and a 3D differentialfilter.Their linear combination is then calculated to generate new volume data with an enhanced boundary surface,where pixel intensity,boundary position information,and intensity changes on both sides of the boundary surface are used simultaneously.Next,preliminary discrete boundary points are detected from the A-Scans of the volume data.Finally,surface smoothness constraints and a dynamic threshold are applied to obtain a smoothed boundary surface by correcting a small number of error points.Our method can extract retinal layer boundary surfaces sequentially with a decreasing search region of volume data.We performed automatic segmentation on eight human OCT volume datasets acquired from a commercial Spectralis OCT system,where each volume of datasets contains 97 OCT B-Scan images with a resolution of 496512(each B-Scan comprising 512 A-Scans containing 496 pixels);experimental results show that this method can accurately segment seven layer boundary surfaces in normal as well as some abnormal eyes. | Yankui Sun Tian Zhang Yue Zhao Yufan He | 2016 | Journal of Innovative Optical Health Sciences2016，9，2： | 0 |
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