Performance Capture of High-Speed Motion Using Staggered Multi-View Recording

  • Authors:
  • Di Wu;Yebin Liu;Ivo Ihrke;Qionghai Dai;Christian Theobalt

  • Affiliations:
  • Deptartment of Automation, Tsinghua University and Graduate School at Shenzhen, Tsinghua University;Deptartment of Automation, Tsinghua University;MPI Informatik and Saarland University;Deptartment of Automation, Tsinghua University;MPI Informatik

  • Venue:
  • Computer Graphics Forum
  • Year:
  • 2012

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Abstract

We present a markerless performance capture system that can acquire the motion and the texture of human actors performing fast movements using only commodity hardware. To this end we introduce two novel concepts: First, a staggered surround multi-view recording setup that enables us to perform model-based motion capture on motion-blurred images, and second, a model-based deblurring algorithm which is able to handle disocclusion, self-occlusion and complex object motions. We show that the model-based approach is not only a powerful strategy for tracking but also for deblurring highly complex blur patterns. © 2012 Wiley Periodicals, Inc.