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DTSTAMP:20240214T070249Z
LOCATION:Meeting Room C4.3\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T110000
DTEND;TZID=Australia/Melbourne:20231215T113000
UID:siggraphasia_SIGGRAPH Asia 2023_sess211_doc_113@linklings.com
SUMMARY:Reconstructing Hand Shape and Appearance for Accurate Tracking fro
 m Monocular Video
DESCRIPTION:Doctoral Consortium\n\nPratik Kalshetti (Indian Institute of T
 echnology Bombay)\n\nIn this thesis, we 1) introduce a novel hand shape mo
 del that augments a data-driven shape model and adapt its local scale to r
 epresent unseen hand shapes, 2) propose a method to reconstruct a detailed
  hand avatar from monocular RGB video captured under real-world environmen
 t lighting by jointly optimizing shape, appearance, and lighting parameter
 s using a realistic shading model in a differentiable rendering framework 
 incorporating Monte Carlo path tracing, and 3) present a robust hand track
 ing framework that accurately registers our hand model to monocular depth 
 data utilizing a modified skinning function with blend shapes.\n\nRegistra
 tion Category: Full Access\n\nSession Chair: Aaron Quigley (CSIRO's Data61
 )
URL:https://asia.siggraph.org/2023/full-program?id=doc_113&sess=sess211
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