<\/div>\n<\/div>\n

\u4f1a\u8bae\u5185\u5bb9<\/span><\/b>
\n<\/b>
\n\u4f1a\u8bae\u6301\u7eed\u56db\u5929\uff0c\u5171<\/span>22\u6b21\u62a5\u544a\uff0c\u901a\u8fc7\u4e2d\u6587\u6216\u82f1\u6587\u5c55\u793a\uff0c\u5185\u5bb9\u91cf\u5f88\u5927\uff0c\u8d28\u91cf\u5f88\u9ad8\u3002\u4e3a\u4e86\u65b9\u4fbf\u6d4f\u89c8\uff0c\u4ee5\u4e0b\u6309\u7167\u5185\u5bb9\u548c\u62a5\u544a\u7684\u65f6\u95f4\u987a\u5e8f\u5bf9\u4f1a\u8bae\u8fdb\u884c\u4e86\u68b3\u7406\uff08\u90e8\u5206\u8bb2\u8005\u53d8\u66f4\u4e86\u6f14\u8bb2\u9898\u76ee\uff0c\u4e0b\u9762\u4e3a\u5b9e\u9645\u4f7f\u7528\u7684\u9898\u76ee\uff09\u3002<\/span><\/p>\n

\u4e00\u3001\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5e8f \u53f7<\/span><\/b><\/td>\n \u4f5c\u8005<\/span><\/b><\/td>\n \u6807\u9898<\/span><\/b><\/td>\n \u5185\u5bb9\u6458\u8981<\/span><\/b><\/td>\n<\/tr>\n
\n1<\/td>\n \nUri Ascher<\/td>\n \nGradient Descentand Gradient-Free Optimization<\/td>\n \n\u67d4\u4f53\u5f62\u53d8\u76f8\u5173<\/span><\/td>\n<\/tr>\n
\n2<\/td>\n \nXin Tong<\/td>\n \nData Driven Approach in Computer Graphing<\/td>\n \n\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\u7814\u7a76\u5185\u5bb9\u7efc\u8ff0<\/span><\/td>\n<\/tr>\n
\n3<\/td>\n \nWenping Wang<\/td>\n \nComputations andApplications of Medial Axis Transform of 3D Shapes<\/td>\n \n\u56fe\u5f62\u4e2d\u8f74\u8ba1\u7b97<\/span><\/td>\n<\/tr>\n
\n4<\/td>\n \nOliver van Kaick<\/td>\n \nCo-segmentation of Sets of Shapes andApplications<\/td>\n \n\u56fe\u5f62\u534f\u540c\u5206\u5272\u53ca\u5e94\u7528<\/span><\/td>\n<\/tr>\n
\n5<\/td>\n \nAndrei Sharf<\/td>\n \nClosing theLoop: from acquisition to manufacturing 3D<\/td>\n \n3D\u626b\u63cf\u4e2d\u906e\u6321\u548c\u6d3b\u52a8\u90e8\u4f4d\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n6<\/td>\n \nFlora Tasse<\/td>\n \n3D Shape Retrieval<\/td>\n \n\u56fe\u50cf\u67e5\u8be2\u5339\u914d\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n7<\/td>\n \nPengfei Xu<\/td>\n \nPattern-AwareSelection and Arrangement of Graphic Elements<\/td>\n \n\u56fe\u5f62\u5bf9\u8c61\u9009\u53d6\u3001\u6392\u5217\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n8<\/td>\n \nRuizhen Hu<\/td>\n \nInteraction-Based Functionality Analysisof 3D shapes<\/td>\n \n\u57fa\u4e8e\u4ea4\u4e92\u7684\u56fe\u5f62\u529f\u80fd\u6027\u5206\u6790\uff08\u57fa\u4e8e<\/span>ICON\uff09<\/span><\/td>\n<\/tr>\n
\n9<\/td>\n \nChi-Wing FU<\/td>\n \nComputationalInterlocking Methods for Fabricating 3D Assembly<\/td>\n \n3D\u6253\u5370\u88c5\u914d\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n10<\/td>\n \nTaka Komura<\/td>\n \nA Deep Learning Framework for CharacterMotion Synthesis and Editing<\/td>\n \n\u52a8\u753b\u5408\u6210\u7f16\u8f91\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n11<\/td>\n \nLigang Liu<\/td>\n \n3D PrintingOriented Geometric Design and Optimization<\/td>\n \n3D\u6253\u5370\u95ee\u9898\u7efc\u8ff0<\/span><\/td>\n<\/tr>\n
\n12<\/td>\n \nYang Zhou<\/td>\n \nGeometric Decomposition for 3D Shapes<\/td>\n \n\u56fe\u5f62\u5206\u89e3\u95ee\u9898\uff08\u51f8\u3001\u91d1\u5b57\u5854\u3001\u5e7f\u4e49\u5706\u67f1\u5206\u89e3\uff09<\/span><\/td>\n<\/tr>\n
\n13<\/td>\n \nKai Xu<\/td>\n \n3DGeometry-Based Explorative 3D Sensing and Understanding<\/td>\n \n\u57fa\u4e8e\u673a\u5668\u4eba\u4ea4\u4e92\u7684\u573a\u666f\u8bc6\u522b\uff08\u6df1\u5ea6\u56fe\uff09<\/span><\/td>\n<\/tr>\n
\n14<\/td>\n \nDaniel Cohen-Or<\/td>\n \nTexture Synthesis<\/td>\n \n\u7eb9\u7406\u5408\u6210\u7b97\u6cd5\u548c\u98ce\u5316\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n15<\/td>\n \nGuiqing Li<\/td>\n \nEditable andCompact Representation of 3D Animated Meshes<\/td>\n \n\u52a8\u753b\u7f16\u8f91\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n16<\/td>\n \nZhonggui Chen<\/td>\n \nSurface Mosaic Synthesis with IrregularTiles<\/td>\n \n3D\u8868\u9762\u9a6c\u8d5b\u514b\u62fc\u5408\u95ee\u9898<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u4e8c\u3001\u8ba1\u7b97\u673a\u89c6\u89c9<\/span><\/p>\n\n\n\n\n\n\n\n
\u5e8f\u53f7<\/span><\/b><\/td>\n \u4f5c\u8005<\/span><\/b><\/td>\n \u6807\u9898<\/span><\/b><\/td>\n \u5185\u5bb9\u6458\u8981<\/span><\/b><\/td>\n<\/tr>\n
\n1<\/td>\n \nDani Lischinski<\/td>\n \nGradient DomainManipulation<\/td>\n \nHDR\uff0c\u6cca\u677e\u56fe\u50cf\u7f16\u8f91\u7b49<\/span><\/td>\n<\/tr>\n
\n2<\/td>\n \nJiaya Jia<\/td>\n \nTwo Goals of Computer Vision \u2013 to Mimicsand Surpasses Human Ability<\/td>\n \n\u53bb\u6a21\u7cca\u7b49\u7814\u7a76\u6210\u679c\u7efc\u8ff0<\/span><\/td>\n<\/tr>\n
\n3<\/td>\n \nXiaoguang Han<\/td>\n \nIntrinsicDecomposition, Salient Object Detection and Discrete Geodesic Computation<\/td>\n \n\u672c\u5f81\u5206\u89e3\uff0c\u7279\u5f81\u5bf9\u8c61\u68c0\u6d4b\uff0c\u56fe\u5f62\u6d4b\u5730\u8ddd\u79bb\u95ee\u9898<\/span><\/td>\n<\/tr>\n
\n4<\/td>\n \nLong Quan<\/td>\n \nMapping the World with Drones \u2013 3D ComputerVision<\/td>\n \n\u8ba1\u7b97\u673a\u89c6\u89c9\u95ee\u9898\u7efc\u8ff0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u4e09\u3001\u6570\u636e\u53ef\u89c6\u5316<\/span><\/p>\n\n\n\n\n\n
\u5e8f\u53f7<\/span><\/b><\/td>\n \u4f5c\u8005<\/span><\/b><\/td>\n \u6807\u9898<\/span><\/b><\/td>\n \u5185\u5bb9\u6458\u8981<\/span><\/b><\/td>\n<\/tr>\n
\n1<\/td>\n \nOliver Deussen<\/td>\n \nDataVisualization: an introduction<\/td>\n \n\u53ef\u89c6\u5316\u95ee\u9898\u53ca\u65b9\u6cd5\u7efc\u8ff0<\/span><\/td>\n<\/tr>\n
\n2<\/td>\n \nWei Chen<\/td>\n \nChallenges for Visualization in DataTechnology (DT) Era\uff08\u5927\u6570\u636e\u53ef\u89c6\u5316\u6311\u6218\u4e0e\u8d8b\u52bf\uff09<\/span><\/td>\n \n\u53ef\u89c6\u5316\u5e94\u7528\u7efc\u8ff0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u5fc3\u5f97\u4f53\u4f1a<\/span><\/b>
\n<\/b>
\n\u8fd9\u662f\u6211\u7b2c\u4e00\u6b21\u53c2\u52a0\u6691\u671f\u5b66\u6821\uff0c\u4e5f\u662f\u7b2c\u4e00\u6b21\u4e0e\u8fd9\u4e48\u591a\u4e1a\u5185\u5927\u725b\u8fd1\u8ddd\u79bb\u63a5\u89e6\uff0c\u5fc3\u60c5\u5341\u5206\u6fc0\u52a8\u3002\u8fd9\u6b21\u4f1a\u8bae\uff0c\u7ed9\u6211\u6700\u76f4\u89c2\u7684\u611f\u53d7\u5c31\u662f\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u9886\u57df\u8fdc\u6bd4\u6211\u73b0\u9636\u6bb5\u63a5\u89e6\u5230\u7684\u5927\u548c\u7cbe\u5f69\u3002\u4f1a\u8bae\u4e0a\uff0c\u5404\u8def\u5927\u725b\u5c55\u793a\u4e86\u975e\u5e38\u591a\u7684\u7eda\u4e3d\u7684\u9879\u76ee\u8ba9\u6211\u76ee\u4e0d\u6687\u63a5\uff0c\u8bb8\u591a\u9879\u76ee\u90fd\u662f\u66fe\u7ecf\u6ca1\u6709\u63a5\u89e6\u8fc7\u6216\u8005\u4e86\u89e3\u5f88\u5c11\u7684\u9886\u57df\uff0c\u6bd4\u5982\u56fe\u5f62\u5206\u5272\u3001\u56fe\u5f62\u67e5\u8be2\u3001\u4e2d\u8f74\u7ebf\u3001<\/span>3D\u6253\u5370\u7b49\u7b49\uff0c\u8fd9\u8ba9\u6211\u610f\u8bc6\u5230\u8ba1\u7b97\u673a\u56fe\u5f62\u5b66\u9886\u57df\u6709\u975e\u5e38\u591a\u7684\u524d\u6cbf\u9886\u57df\u7b49\u5f85\u6211\u4eec\u6316\u6398\u3002<\/span><\/p>\n
\u5728\u5177\u4f53\u7684\u5c55\u793a\u4e2d\uff0c\u4e00\u4e9b\u8bb2\u8005\u5bf9\u7814\u7a76\u9886\u57df\u548c\u7814\u7a76\u5de5\u4f5c\u8fdb\u884c\u4e86\u9ad8\u5c4b\u5efa\u74f4\u5f0f\u7684\u5b8f\u89c2\u63cf\u8ff0\uff0c\u5f00\u9614\u4e86\u6211\u7684\u89c6\u91ce\uff1b\u4e00\u4e9b\u8bb2\u8005\u9488\u5bf9\u5177\u4f53\u67d0\u4e2a\u6216\u67d0\u51e0\u4e2a\u7814\u7a76\u8fdb\u884c\u7ec6\u81f4\u5165\u5fae\u5c55\u793a\uff0c\u8ba9\u6211\u5bf9\u6240\u7528\u5230\u7684\u6570\u5b66\u5de5\u5177\u6709\u4e86\u5927\u81f4\u7684\u4e86\u89e3\uff0c\u4e3a\u6211\u672a\u6765\u7814\u7a76\u505a\u51fa\u5f15\u5bfc\uff1b\u8fd8\u6709\u4e00\u4e9b\u8bb2\u8005\u5bf9\u81ea\u5df1\u7684\u7814\u7a76\u7ecf\u5386\u548c\u65b9\u6cd5\u4f5c\u4e86\u4ecb\u7ecd\uff0c\u4f20\u9053\u6388\u4e1a\uff0c\u8fd9\u5176\u4e2d\u7ed9\u6211\u5370\u8c61\u6700\u6df1\u7684\u662f\u5218\u5229\u521a\u8001\u5e08\u3002<\/span><\/p>\n
\u5218\u5229\u521a\u8001\u5e08\u7684\u62a5\u544a\u5bf9<\/span>3D\u6253\u5370\u9886\u57df\u7684\u95ee\u9898\u8fdb\u884c\u4e86\u7efc\u8ff0\u3002\u9996\u5148\u4ed6\u4ece\u4f20\u7edf\u5236\u9020\u65b9\u6cd5\u51fa\u53d1\uff0c\u4e3a\u6211\u4eec\u89e3\u91ca\u4e86\u94f8\u9020\u3001\u953b\u9020\u3001\u6570\u63a7\u52a0\u5de5\uff0c\u7136\u540e\u9010\u4e00\u63ed\u793a\u5b83\u4eec\u7684\u4f18\u7f3a\u70b9\uff0c\u6307\u51fa\u4e0a\u8ff0\u65b9\u6cd5\u7684\u65e0\u6cd5\u89e3\u51b3\u7684\u95ee\u9898\u2014\u2014\u5de5\u5e8f\u590d\u6742\uff0c\u4e0d\u591f\u5feb\uff0c\u65e0\u6cd5\u5236\u9020\u590d\u6742\u7a7a\u95f4\u7ed3\u6784\u7684\u95ee\u9898\uff0c\u7531\u6b64\u5f15\u51fa<\/span>3D\u6253\u5370\u3002\u5728\u4ecb\u7ecd<\/span>3D\u6253\u5370\u65f6\uff0c\u5218\u5229\u521a\u8001\u5e08\u9996\u5148\u4ecb\u7ecd\u4e86\u5b83\u7684\u539f\u7406\u548c\u6570\u5b66\u601d\u60f3\uff08\u5c06\u56fe\u5f62\u5fae\u5206\uff0c\u5bf9\u6750\u6599\u79ef\u5206\uff09\uff0c\u7136\u540e\u5f15\u51fa\u4e86<\/span>3D\u6253\u5370\u9886\u57df\u7684\u4e09\u4e2a\u95ee\u9898\uff08<\/span>3M\uff09\u2014\u2014\u673a\u5668\uff08<\/span>M<\/b>achine\uff09\u3001\u6750\u6599\uff08<\/span>M<\/b>aterial\uff09\u3001\u5efa\u6a21\uff08<\/span>M<\/b>odeling\uff09\u3002\u5218\u5229\u521a\u8001\u5e08\u8ba4\u4e3a\uff0c\u673a\u5668\u548c\u6750\u6599\u7684\u95ee\u9898\u8981\u4ea4\u7ed9\u5236\u9020\u4e1a\u548c\u7269\u7406\u5316\u5b66\u7b49\u9886\u57df\u7684\u7814\u7a76\u8005\u89e3\u51b3\uff0c\u800c\u56fe\u5f62\u5b66\u7684\u7814\u7a76\u8005\u5e94\u5c06\u76ee\u5149\u7740\u773c\u4e8e\u6700\u540e\u4e00\u4e2a<\/span>M\u2014\u2014\u5efa\u6a21\u3002\u56e0\u6b64\u4ed6\u7ee7\u7eed\u5bf9\u6b64\u8fdb\u884c\u7ec6\u5316\uff0c\u5c06\u95ee\u9898\u8fdb\u4e00\u6b65\u7684\u8fdb\u884c\u5206\u89e3\uff0c\u5206\u89e3\u4e3a\u201c\u7269\u7406\u7ed3\u6784\u201d\u3001\u201c\u8868\u9762\u7ed3\u6784\u201d\u3001\u201c\u88c5\u914d\u95ee\u9898\u201d\u7b49\u66f4\u5c0f\u7684\u9886\u57df\u3002\u7136\u540e\u518d\u5c06\u6bcf\u4e2a\u5c0f\u7684\u9886\u57df\u8fdb\u4e00\u6b65\u5206\u89e3\uff0c\u4f8b\u5982\u5c06\u7269\u7406\u7ed3\u6784\u95ee\u9898\u5206\u89e3\u4e3a\u201c\u671d\u5411\u201d\u3001\u201c\u652f\u6491\u7ed3\u6784\u201d\u3001\u201c\u5207\u7247\u201d\u7b49\u8bf8\u591a\u95ee\u9898\uff0c\u800c\u8fd9\u4e9b\u95ee\u9898\u7684\u53c8\u90fd\u662f\u6839\u636e\u5b9e\u9645\u5e94\u7528\u6240\u63d0\u51fa\u7684\u3002<\/span><\/p>\n
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\u6700\u540e\uff0c\u901a\u8fc7\u53c2\u52a0\u8fd9\u6b21\u4f1a\u8bae\uff0c\u4e5f\u8ba9\u6211\u8ba4\u8bc6\u5230\u4e86\u81ea\u8eab\u7684\u4e0d\u8db3\uff0c\u9700\u8981\u5728\u672a\u6765\u7684\u65e5\u5b50\u91cc\u8fdb\u4e00\u6b65\u589e\u5f3a\u81ea\u5df1\u7684\u79d1\u7814\u80fd\u529b\uff0c\u6269\u5bbd\u81ea\u5df1\u7684\u89c6\u91ce\uff0c\u6df1\u5316\u5bf9\u9886\u57df\u7684\u4e86\u89e3\uff0c\u540c\u65f6\u4e5f\u8981\u8fdb\u4e00\u6b65\u589e\u5f3a\u81ea\u5df1\u7684\u82f1\u8bed\u6c34\u5e73\uff0c\u4f7f\u81ea\u5df1\u4eca\u540e\u53ef\u4ee5\u66f4\u597d\u8fdb\u884c\u79d1\u7814\u4ea4\u6d41\u3002<\/span><\/p>\n
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