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Optical flow based tracking and retexturing of garments

: Hilsmann, A.; Eisert, P.


IEEE Signal Processing Society:
15th IEEE International Conference on Image Processing, ICIP 2008. Conference Proceedings : San Diego, CA, USA, 12-15 October 2008
Piscataway, NJ: IEEE, 2008
ISBN: 978-1-4244-1765-0
ISBN: 1-4244-1764-3
ISBN: 978-1-4244-1764-3
International Conference on Image Processing (ICIP) <15, 2008, San Diego/Calif.>
Fraunhofer HHI ()

In this paper, we present a method for tracking and retexturing of garments that exploits the entire, image information using the optical flow constraint instead of working with distinct features. In a hierarchical framework we refine the motion model with every level. The motion model is used to regularize the optical flow field such that finding the best transformation amounts in minimizing an error function that can be solved in a least squares sense. Knowledge about the position and deformation of the garment in 2D allows us to erase the old texture and rep ace it by a new one wish correct deformation and shading properties without 3D reconstruction. Additionally, it provides an estimation of the inadiance such that the new texture can be illuminated realistically.