Generalized Image Acquisition and Analysis

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

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.

Projects

An evaluation of optical flow algorithms for background oriented schlieren imaging

Bradley Atcheson, Wolfgang Heidrich, Ivo Ihrke
In: Experiments in Fluids 2009.



Abstract

The background oriented schlieren method (BOS) allows for accurate flow measurements with a simple experimental configuration. To estimate per-pixel displacement vectors between two images, BOS systems traditionally borrow window-based algorithms from particle image velocimetry. In this paper, we evaluate the performance of more recent optical flow methods in BOS settings. We also analyze the impact of different background patterns, suggesting the use of a pattern with detail at many scales. Experiments with both synthetic and real datasets show that the performance of BOS systems can be significantly improved through a combination of optical flow algorithms and multiscale background.
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Bibtex

@ARTICLE{Atcheson:EiF:2008,
author = {Bradley Atcheson and Wolfgang Heidrich and Ivo Ihrke},
title = {An evaluation of optical flow algorithms for background oriented schlieren imaging},
journal = {Experiments in Fluids},
year = {2008},
volume = {to appear},
number = {},
pages = {},
doi = {10.1007/s00348-008-0572-7}
}
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