Abstract
| Language | English |
|---|---|
| Journal | IEEE Transactions on Visualization and Computer Graphics |
| DOIs | |
| Status | Published - 11 Aug 2017 |
| Event | IEEE International Symposium on Mixed and Augmented Reality - Nantes, France Duration: 9 Oct 2017 → 13 Oct 2017 Conference number: 16 https://ismar2017.sciencesconf.org/ |
Fingerprint
Keywords
- intrinsic video decomposition
- reflectance fusion
- user-guided shading refinement
Cite this
Live User-Guided Intrinsic Video for Static Scenes. / Meka, Abhimitra; Fox, Gereon; Zollhöfer, Michael; Richardt, Christian; Theobalt, Christian.
In: IEEE Transactions on Visualization and Computer Graphics, 11.08.2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Live User-Guided Intrinsic Video for Static Scenes
AU - Meka, Abhimitra
AU - Fox, Gereon
AU - Zollhöfer, Michael
AU - Richardt, Christian
AU - Theobalt, Christian
PY - 2017/8/11
Y1 - 2017/8/11
N2 - We present a novel real-time approach for user-guided intrinsic decomposition of static scenes captured by an RGB-D sensor. In the first step, we acquire a three-dimensional representation of the scene using a dense volumetric reconstruction framework. The obtained reconstruction serves as a proxy to densely fuse reflectance estimates and to store user-provided constraints in three-dimensional space. User constraints, in the form of constant shading and reflectance strokes, can be placed directly on the real-world geometry using an intuitive touch-based interaction metaphor, or using interactive mouse strokes. Fusing the decomposition results and constraints in three-dimensional space allows for robust propagation of this information to novel views by re-projection. We leverage this information to improve on the decomposition quality of existing intrinsic video decomposition techniques by further constraining the ill-posed decomposition problem. In addition to improved decomposition quality, we show a variety of live augmented reality applications such as recoloring of objects, relighting of scenes and editing of material appearance.
AB - We present a novel real-time approach for user-guided intrinsic decomposition of static scenes captured by an RGB-D sensor. In the first step, we acquire a three-dimensional representation of the scene using a dense volumetric reconstruction framework. The obtained reconstruction serves as a proxy to densely fuse reflectance estimates and to store user-provided constraints in three-dimensional space. User constraints, in the form of constant shading and reflectance strokes, can be placed directly on the real-world geometry using an intuitive touch-based interaction metaphor, or using interactive mouse strokes. Fusing the decomposition results and constraints in three-dimensional space allows for robust propagation of this information to novel views by re-projection. We leverage this information to improve on the decomposition quality of existing intrinsic video decomposition techniques by further constraining the ill-posed decomposition problem. In addition to improved decomposition quality, we show a variety of live augmented reality applications such as recoloring of objects, relighting of scenes and editing of material appearance.
KW - intrinsic video decomposition
KW - reflectance fusion
KW - user-guided shading refinement
UR - https://doi.org/10.1109/TVCG.2017.2734425
UR - https://gvv.mpi-inf.mpg.de/projects/InteractiveIntrinsicAR/
U2 - 10.1109/TVCG.2017.2734425
DO - 10.1109/TVCG.2017.2734425
M3 - Article
JO - IEEE Transactions on Visualization and Computer Graphics
T2 - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
SN - 1077-2626
ER -