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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030653Z
LOCATION:Meeting Room S221\, Level 2
DTSTART;TZID=Asia/Hong_Kong:20251216T170200
DTEND;TZID=Asia/Hong_Kong:20251216T171300
UID:siggraphasia_SIGGRAPH Asia 2025_sess131_papers_1784@linklings.com
SUMMARY:Environment-aware Motion Matching
DESCRIPTION:Jose Luis Ponton (Universitat Politècnica de Catalunya), Sheld
 on Andrews (École de technologie supérieure (ÉTS)), and Carlos Andujar and
  Nuria Pelechano (Universitat Politècnica de Catalunya)\n\nInteractive app
 lications demand believable character animation that responds naturally to
  dynamic environments. Traditional animation techniques often struggle to 
 handle arbitrary situations, leading to a growing trend of dynamically sel
 ecting motion-captured animations based on predefined features. While Moti
 on Matching has proven effective for locomotion by aligning to target traj
 ectories, animating environment interactions and crowd behaviors remains c
 hallenging due to the need to consider surrounding elements. Existing appr
 oaches often involve manual setup or lack the naturalism of motion capture
 . Furthermore, in crowd animation, body animation is frequently treated as
  a separate process from trajectory planning, leading to inconsistencies b
 etween body pose and root motion. To address these limitations, we present
  Environment-aware Motion Matching, a novel real-time system for full-body
  character animation that dynamically adapts to obstacles and other agents
 , emphasizing the bidirectional relationship between pose and trajectory. 
 In a preprocessing step, we extract shape, pose, and trajectory features f
 rom a motion capture database. At runtime, we perform an efficient search 
 that matches user input and current pose while penalizing collisions with 
 a dynamic environment. Our method allows characters to naturally adjust th
 eir pose and trajectory to navigate crowded scenes.\n\nRegistration Catego
 ry: Full Access, Full Access Supporter\n\nSession Chair: Jungdam Won (Seou
 l National University)\n\n
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