Title | ||
---|---|---|
3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping. |
Abstract | ||
---|---|---|
Video-mapping is the process of coherent video-projection of images, animations or movies on static objects or buildings for shows. This paper focuses on the dynamic video-mapping of the suit of a puppet being moved by its puppeteer on the theater stage. This may allow changing the costume dynamically and simulate light interaction and more. Contrary to common video-mapping, the image warping cannot be done once, offline, before the show. It must be done in real-time, and considering a non-flat projection surface, so that the video-projected suit always maps perfectly the puppet, automatically. Hence, we propose a new visual tracking method of articulated object, for the puppet tracking, exploiting the silhouette of a 3D model of it, in the depth images of a Kinect v2. Then, considering the precise calibration between the latter and the video-projector, that we propose, coherent dynamic video-mapping is made possible as the presented results show. |
Year | Venue | Field |
---|---|---|
2018 | arXiv: Computer Vision and Pattern Recognition | Computer vision,Image warping,Pattern recognition,Computer science,Silhouette,Eye tracking,Artificial intelligence,Calibration |
DocType | Volume | Citations |
Journal | abs/1810.03956 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guillaume Caron | 1 | 0 | 0.34 |
Mounya Belghiti | 2 | 0 | 0.34 |
Anthony Dessaux | 3 | 0 | 0.34 |