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DTSTAMP:20260114T163733Z
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:Pratik Kalshetti (Indian Institute of Technology Bombay)\n\nIn
  this thesis, we 1) introduce a novel hand shape model that augments a dat
 a-driven shape model and adapt its local scale to represent unseen hand sh
 apes, 2) propose a method to reconstruct a detailed hand avatar from monoc
 ular RGB video captured under real-world environment lighting by jointly o
 ptimizing shape, appearance, and lighting parameters using a realistic sha
 ding model in a differentiable rendering framework incorporating Monte Car
 lo path tracing, and 3) present a robust hand tracking framework that accu
 rately registers our hand model to monocular depth data utilizing a modifi
 ed skinning function with blend shapes.\n\nRegistration Category: Full Acc
 ess\n\nSession Chair: Aaron Quigley (CSIRO's Data61)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=doc_113&sess=sess211
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