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Markerless Motion Capture with Unsynchronized Moving Cameras N. HaslerN. Hasler, MPI Inf., Saarbrucken, Germany B. RosenhahnB. Rosenhahn, MPI Inf., Saarbrucken,

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Presentation on theme: "Markerless Motion Capture with Unsynchronized Moving Cameras N. HaslerN. Hasler, MPI Inf., Saarbrucken, Germany B. RosenhahnB. Rosenhahn, MPI Inf., Saarbrucken,"— Presentation transcript:

1 Markerless Motion Capture with Unsynchronized Moving Cameras N. HaslerN. Hasler, MPI Inf., Saarbrucken, Germany B. RosenhahnB. Rosenhahn, MPI Inf., Saarbrucken, Germany T. ThormahlenT. Thormahlen, MPI Inf., Saarbrucken, Germany M. WandM. Wand, MPI Inf., Saarbrucken, Germany J. GallJ. Gall, MPI Inf., Saarbrucken, Germany H.-P. SeidelH.-P. Seidel, MPI Inf., Saarbrucken, Germany IEEE 2009

2 Outline Introduction Steps Experiments

3 Introduction

4 Steps Camera Calibration Camera Synchronization Motion Capture

5 Camera Calibration Single Camera Structure from Motion KLT–Tracker or SIFT filter out feature points RANSAC with multi-view constraints minimizes the error of 3D points (Gaussian distribution) – d(….) = Euclidean distance – Pj = 3D object point – Ak = 3x4 camera matrix – p(j,k) = K images J trajectories of 2D feature point

6 Camera Calibration Multi camera Structure from Motion – Register N reconstructions into global system (H) find and merge 3D object points (pairwise match) (color intensity, uniqueness constraint)

7 Camera Calibration Tensor Voting filter (noise) Least Squares filter (smooth) 3D surface reconstruction

8 Camera Synchronization – Audio signals – denotes cross correlation (Fast Fourier Trans.) – * convolution

9 Motion Capture Kinematic Chains Silhouette Extraction Pose Estimation

10 Experiments

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