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DTSTART;TZID=Europe/Paris:20260910T133000
DTEND;TZID=Europe/Paris:20260910T143000
DESCRIPTION:Abstract:\nWith the rapid development of 3D applications in VR/
 AR\, robotics\, digital twins\, and immersive communication\, effective 3D
  geometry data compression has become more critical than ever. However\, t
 he inherently irregular and unstructured nature of raw 3D data poses signi
 ficant technical challenges for traditional compression frameworks\, which
  typically thrive on highly regular grids. This talk explores advanced 3D 
 geometry representations through the lens of spatial structurization acros
 s 1D\, 2D\, and 3D spaces. Specifically\, we will examine how mapping comp
 lex\, irregular geometric structures into structured 1D sequences\, 2D ima
 ge grids\, or regular 3D volumetric data can successfully bridge the gap b
 etween raw spatial data and highly optimized\, classical compression pipel
 ines. By rethinking data representation as a fundamental prerequisite for 
 efficient encoding\, this presentation highlights novel\, robust pathways 
 toward ultra-efficient 3D data storage\, transmission\, and streaming\, ul
 timately offering fresh insights into the future of geometric data process
 ing.\n\nBio:\nDr. Junhui Hou is a Professor with the Department of Compute
 r Science\, City University of Hong Kong (CityUHK). His research interests
  include multidimensional visual computing\, such as light field\, hypersp
 ectral\, geometry\, and event data. He received the Early Career Award and
  Research Fellow from the Hong Kong Research Grants Council\, the Excellen
 t Young Scientists Fund from NSFC\, the IEEE TIP Best Paper Award\, and th
 e CityUHK Presidential Research Excellence Award for Junior Faculty. He is
  serving as a Senior Area Editor for IEEE TIP and an Associate Editor for 
 IEEE TVCG and TMM\, and served as an Associate Editor for IEEE TIP and TCS
 VT.\n\nVirtual: https://events.vtools.ieee.org/m/574377
LOCATION:Virtual: https://events.vtools.ieee.org/m/574377
ORGANIZER:Ambarish.natu@gmail.com
SEQUENCE:6
SUMMARY:Rethinking 3D Geometry Compression Through the Lens of Structural R
 epresentation
URL;VALUE=URI:https://events.vtools.ieee.org/m/574377
X-ALT-DESC:Description: <br /><div><strong data-removefontsize="true" data-
 originalcomputedfontsize="16">Abstract:</strong></div>\n<div><span data-re
 movefontsize="true" data-originalcomputedfontsize="16">With the rapid deve
 lopment of 3D applications in VR/AR\, robotics\, digital twins\, and immer
 sive communication\, effective 3D geometry data compression has become mor
 e critical than ever. However\, the inherently irregular and unstructured 
 nature of raw 3D data poses significant technical challenges for tradition
 al compression frameworks\, which typically thrive on highly regular grids
 . This talk explores advanced 3D geometry representations through the lens
  of spatial structurization across 1D\, 2D\, and 3D spaces. Specifically\,
  we will examine how mapping complex\, irregular geometric structures into
  structured 1D sequences\, 2D image grids\, or regular 3D volumetric data 
 can successfully bridge the gap between raw spatial data and highly optimi
 zed\, classical compression pipelines. By rethinking data representation a
 s a fundamental prerequisite for efficient encoding\, this presentation hi
 ghlights novel\, robust pathways toward ultra-efficient 3D data storage\, 
 transmission\, and streaming\, ultimately offering fresh insights into the
  future of geometric data processing.</span><br><br></div>\n<div><strong d
 ata-removefontsize="true" data-originalcomputedfontsize="16">Bio:</strong>
 </div>\n<div><span data-removefontsize="true" data-originalcomputedfontsiz
 e="16">Dr.&nbsp\;Junhui Hou is a Professor with the Department of Computer
  Science\, City University of Hong Kong (CityUHK). His research interests 
 include multidimensional visual computing\, such as light field\, hyperspe
 ctral\, geometry\, and event data. He received the Early Career Award and 
 Research Fellow from the Hong Kong Research Grants Council\, the Excellent
  Young Scientists Fund from NSFC\, the IEEE TIP Best Paper Award\, and the
  CityUHK Presidential Research Excellence Award for Junior Faculty. He is 
 serving as a Senior Area Editor for IEEE TIP and an Associate Editor for I
 EEE TVCG and TMM\, and served as an Associate Editor for IEEE TIP and TCSV
 T.&nbsp\;</span></div>
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