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style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:#6699FF'>COM.Geo 2013 Subprogram </span></strong><o:p></o:p></p></td><td valign=top style='padding:0in 0in 0in 0in'><div style='margin-top:15.0pt'><p class=MsoNormal><strong><span style='font-size:18.0pt;font-family:"Trebuchet MS","sans-serif";color:#0C729F'>Computer Vision & Image Processing</span></strong><b><span style='font-size:18.0pt;font-family:"Trebuchet MS","sans-serif";color:#0C729F'><br><strong><span style='font-family:"Trebuchet MS","sans-serif"'> Submission Deadlines on Apr. 2</span></strong></span></b><span style='font-size:25.0pt;font-family:"Trebuchet MS","sans-serif";color:#0C729F'><o:p></o:p></span></p></div></td></tr><tr><td width=177 valign=top style='width:132.75pt;padding:0in 0in 0in 0in'><div style='margin-top:11.25pt'><p class=MsoNormal align=center style='text-align:center'><br><br><img border=0 width=150 height=68 id="_x0000_i1033" src="http://img-ak.verticalresponse.com/media/c/e/6/ce62199e83/7571e50464/77458efbf7/library/IEEEXploreJPG%202.jpg" alt="IEEEXploreJPG 2"><br><br><br><br><img border=0 width=150 height=90 id="_x0000_i1034" src="http://img-ak.verticalresponse.com/media/c/e/6/ce62199e83/7571e50464/77458efbf7/library/cps_logo%202.jpg" alt="cps_logo 2"><o:p></o:p></p></div></td><td width=423 valign=top style='width:317.25pt;padding:0in 18.75pt 7.5pt 0in'><div><div><p><span style='font-size:8.5pt;font-family:"Trebuchet MS","sans-serif";color:black'>Computer vision, image processing and machine learning technologies have been more and more merged with geospatial techniques in recent years. This strong combination is largely due to the technology improvements in both domains and strong commercial application incentives. We see Amazon acquire 3D mapping company Upnext, Apple bought C3 technology, Google glass employs augmented reality with real time location information. Behind all these emerging applications, computer vision, image processing, machine learning together with geospatial, location intelligence are the driving forces.<o:p></o:p></span></p><p><span style='font-size:8.5pt;font-family:"Trebuchet MS","sans-serif";color:black'>The focus of this program are technology fusion of these two domains. It could be ideas of how to build 3D maps using stereo images; how to develop visual analysis and geo-location recognition capabilities that make use of vast amount of contextual information available on internet; how GPU can be used for geospatial image and video processing; how geospatial data processing can provide timely information for disaster management; Or it could be how to detect specific targets from satellite images. Papers describing original research, practical systems and stimulating ideas are solicited in the areas related to computer vision, image processing, machine learning and geospatial techniques. Topics of interest include but not limited to:<o:p></o:p></span></p><p><span style='font-size:8.5pt;font-family:"Trebuchet MS","sans-serif";color:black'> Building 3D map from stereo vision<br>3D Construction from video sequences<br> Geo-localization by Image<br> Geo-localization by UVA videos<br>GPS-denied navigation<br>Geospatial image tagging<br> Geospatial visual analytics<br> Visual analysis in remote sensing images<br>Geospatial image and video sensing<br> Geospatial feature detection and matching<br> Feature extraction from remote sensing images<br> GPU/GPGPU computing for geospatial technologies<br> Image and video based rendering<br> Video-based virtual environments<br> Geospatial augmented reality<br>Large scale geospatial image and video computing<br> Situation awareness by mobile phone<br> Geospatial image processing for disaster management<o:p></o:p></span></p><p><span style='font-size:8.5pt;font-family:"Trebuchet MS","sans-serif";color:black'> Paper should describe original and unpublished work about the above or closely related topics. Each paper will receive single blind reviews, moderated by the program chairs.<o:p></o:p></span></p></div></div></td></tr></table></div></td></tr><tr><td style='padding:0in 0in 0in 0in'><div align=center><table class=MsoNormalTable border=0 cellspacing=0 cellpadding=0 width=650 style='width:487.5pt'><tr><td width=25 style='width:18.75pt;padding:0in 0in 0in 0in'><p class=MsoNormal><img border=0 width=25 height=1 id="_x0000_i1035" src="http://img-ak.verticalresponse.com/email_layout/3407/spacer.gif" alt=spacer.gif><o:p></o:p></p></td><td width=415 valign=top style='width:311.25pt;background:#E6E6E6;padding:11.25pt 11.25pt 11.25pt 11.25pt'><div><p class=style22 style='margin:.75pt'><strong><span style='font-size:10.0pt;font-family:"Arial","sans-serif";color:gray'>About COM.Geo </span></strong><ns0:p></ns0:p><span style='font-size:7.5pt;font-family:"Trebuchet MS","sans-serif";color:#333333'><o:p></o:p></span></p><p class=style21 style='margin:.75pt;text-align:justify'><span style='font-size:7.5pt;font-family:"Arial","sans-serif";color:black'>Computing for Geospatial Research Institute (COM.Geo) is one of the leading-edge geospatial computing research organizations in the world. COM.Geo is playing a guiding role to advancing the technologies in computing for geospatial research and application fields. COM.Geo R&D focuses on the latest computing technologies for multidisciplinary research and development that enables the exploration in geospatial areas. 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