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Performance Capture of High‐Speed Motion Using Staggered Multi‐View Recording
Author(s) -
Wu Di,
Liu Yebin,
Ihrke Ivo,
Dai Qionghai,
Theobalt Christian
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03194.x
Subject(s) - deblurring , computer science , computer vision , artificial intelligence , motion blur , motion (physics) , tracking (education) , motion capture , match moving , object (grammar) , computer graphics (images) , image (mathematics) , image restoration , image processing , psychology , pedagogy
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.