Dynamic projection mapping onto a deformable object with occlusion based on high-speed tracking of dot marker array

In recent years, projection mapping has attracted much attention in a variety of fields. Generally, however, the objects in projection mapping are limited to rigid and static or quasistatic objects. Dynamic projection mapping onto a deformable object could remarkably expand the possibilities. In order to achieve such a projection mapping, it is necessary to recognize the deformation of the object even when it is occluded. However, it is still a challenging problem to achieve this task in real-time with low latency. In this paper, we propose an efficient, high-speed tracking method utilizing high-frame-rate imaging. Our method is able to track an array of dot markers arranged on a deformable object even when there is external occlusion caused by the user interaction and self-occlusion caused by the deformation of the object itself. Additionally, our method can be applied to a stretchable object. Dynamic projection mapping with our method showed robust and consistent display onto a sheet of paper and cloth with a tracking performance of about 0.2 ms per frame, with the result that the projected pattern appeared to be printed on the deformable object.

[1]  Éric Marchand,et al.  Deformable random dot markers , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.

[2]  Kosuke Sato,et al.  DeforMe: projection-based visualization of deformable surfaces using invisible textures , 2013, SIGGRAPH ASIA Emerging Technologies.

[3]  Andrew Zisserman,et al.  Direct Estimation of Non-Rigid Registrations , 2004 .

[4]  Hirokazu Kato,et al.  Marker tracking and HMD calibration for a video-based augmented reality conferencing system , 1999, Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99).

[5]  Kosuke Sato,et al.  Limpid desk: see-through access to disorderly desktop in projection-based mixed reality , 2006, VRST '06.

[6]  Yanxi Liu,et al.  A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Masatoshi Ishikawa,et al.  Lumipen: Projection-Based Mixed Reality for Dynamic Objects , 2012, 2012 IEEE International Conference on Multimedia and Expo.

[8]  Adrien Bartoli,et al.  Direct Estimation of Non-Rigid Registration , 2004, BMVC.

[9]  Pattie Maes,et al.  Flexpad: highly flexible bending interactions for projected handheld displays , 2013, CHI.

[10]  Hirokazu Kato,et al.  Geometrically-Correct Projection-Based Texture Mapping onto a Deformable Object , 2014, IEEE Transactions on Visualization and Computer Graphics.

[11]  Anna Hilsmann,et al.  Tracking deformable surfaces with optical flow in the presence of self occlusion in monocular image sequences , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[12]  Jürgen Steimle,et al.  FoldMe: interacting with double-sided foldable displays , 2012, Tangible and Embedded Interaction.

[13]  Vincent Lepetit,et al.  Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation , 2008, International Journal of Computer Vision.

[14]  Daniel J. Wigdor,et al.  Designing for low-latency direct-touch input , 2012, UIST.