ABSTRACT
No abstract available.
Supplemental Material
Available for Download
Supplemental file
- Friedrich van Schoor, Tarek Mawad. 2014. Projections in the Forest.Google Scholar
- Tomoki Sueyoshi and Yuki Morimoto. 2019. Tangible Projection Mapping onto Deformable Moving Thin Plants via Markerless Tracking. In The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST ’19).Google Scholar
Digital Library
- Amit H. Bermano, Markus Billeter, Daisuke Iwai. 2017. Anselm Grundhöfer, Makeup Lamps: Live Augmentation of Human Faces via Projection, 2017. Eurographics.Google Scholar
- Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh. 2017. Realtime Multi- person 2D Pose Estimation Using Part Affinity Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17).Google Scholar
Cross Ref
- Tomoki Sueyoshi, Yuki Morimoto. 2018. Automatic Generation of Interactive Projection Mapping for Leaves, SIGGRAPH Asia 2018 Posters (SA ‘18).Google Scholar
- Pablo F Alcantarilla, Jesús Nuevo, and Adrien Bartoli. 2013. Fast explicit diffusion for accelerated features in nonlinear scale spaces. In Proceedings British Machine Vision Conference 2013. Pages 13.1–13.11Google Scholar
Cross Ref
Index Terms
Dynamic Projection Mapping for Silkworms
Recommendations
Lorentzian discriminant projection and its applications
ACCV'09: Proceedings of the 9th Asian conference on Computer Vision - Volume Part IIIThis paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification Our method represents the structures of sample data by a manifold, which is furnished with a ...
Isometric projection
AAAI'07: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low dimensional manifold which is embedded in high dimensional Euclidean space. ...
Kernel class-wise locality preserving projection
In the recent years, the pattern recognition community paid more attention to a new kind of feature extraction method, the manifold learning methods, which attempt to project the original data into a lower dimensional feature space by preserving the ...




Comments