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MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com

Prakash: Lighting Aware Motion Capture using Photosensing Markers on Multiplexed Illuminators
Ramesh Raskar, Hideaki Nii, Bert deDecker, Yuki Hashimoto, Jay Summet, Dylan Moore, Yong Zhao, Jonathan Westhues, Paul Dietz, John Barnwell, Shree Nayar, Masahiko Inami, Philippe Bekaert, Michael Noland, Vlad Branzoi, Erich BrunsTR2007-113 August 2008

Abstract In this paper, we present a high speed optical motion capture method that can measure three dimensional motion, orientation, and incident illumination at tagged points in a scene. We use tracking tags that work in natural lighting conditions and can be imperceptibly embedded in attire or other objects. Our system supports an unlimited number of tags in a scene, with eachtag uniquely identified to eliminate marker reacquisition issues. Our tags also provide incident illumination data which can be used to match scene lighting when inserting synthetic elements. The technique is therefore ideal for on-set motion capture or real-time broadcasting of virtual sets. ACM Transactions on Graphics (TOG) 2007

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Prakash: Lighting Aware Motion Capture usingPhotosensing Markers and Multiplexed Illuminators
Ramesh Raskar∗ Hideaki Nii† ¶ Yong Zhao Jonathan Westhues∗ / Philippe Bekaert0
/ Bert deDecker0 Yuki Hashimoto‡ Jay Summet§ Dylan Moore♭ ∗ ∗ ♮ Paul Dietz John Barnwell Shree Nayar Masahiko Inami‡ ♮ ♯ Michael Noland Vlad Branzoi Erich Bruns

Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA∗∗

Figure 1: Motion and incidentillumination capture in a natural setting with imperceptible marker tags. (Left) Traces of hidden tags superimposed on an actor running in sunlight. (Middle) A video frame from a recording session. (Right) A virtual sword inserted with matching location, orientation, lighting and motion blur.

Abstract
In this paper, we present a high speed optical motion capture method that can measure threedimensional motion, orientation, and incident illumination at tagged points in a scene. We use tracking tags that work in natural lighting conditions and can be imperceptibly embedded in attire or other objects. Our system supports an unlimited number of tags in a scene, with each tag uniquely identified to eliminate marker reacquisition issues. Our tags also provide incident illumination data which canbe used to match scene lighting when inserting synthetic elements. The technique is therefore ideal for on-set motion capture or real-time broadcasting of virtual sets.
201 Broadway, Cambridge, MA, USA / of Tokyo 0 Universiteit Hasselt, Belgium ‡ U of Electro-Communications, Tokyo § Georgia Institute of Technology ♭ Syracuse University ¶ Brown University ♮ Columbia University U of North Carolinaat Chapel Hill ♯ Bauhaus University, Weimar ∗∗ e-mail:raskar(at)merl.com,web:http://www.merl.com/people/raskar/
† University
ACM Reference Format Raskar, R., Nii, H., deDecker, B., Hashimoto, Y., Summet, J., Moore, D., Zhao, Y., Westhues, J., Dietz, P., Barnwell, J., Nayar, S., Inami, M., Bekaert, P., Noland, M., Branzoi, V., Bruns, E. 2007. Prakash: Lighting Aware Motion Capture using...