|
ABSTRACT
Articulated hand-tracking systems have been widely used in virtual reality but are rarely deployed in consumer applications due to their price and complexity. In this paper, we propose an easy-to-use and inexpensive system that facilitates 3-D articulated user-input using the hands. Our approach uses a single camera to track a hand wearing an ordinary cloth glove that is imprinted with a custom pattern. The pattern is designed to simplify the pose estimation problem, allowing us to employ a nearest-neighbor approach to track hands at interactive rates. We describe several proof-of-concept applications enabled by our system that we hope will provide a foundation for new interactions in modeling, animation control and augmented reality.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
Athitsos, V., and Sclaroff, S. 2003. Estimating 3D hand pose from a cluttered image. In Computer Vision and Pattern Recognition (CVPR), vol. 2, 432--439.
|
| |
3
|
Athitsos, V., Alon, J., Sclaroff, S., and Kollios, G. 2004. BoostMap: A method for efficient approximate similarity rankings. In Computer Vision and Pattern Recognition (CVPR), vol. 2, 268--275.
|
 |
4
|
Connelly Barnes , David E. Jacobs , Jason Sanders , Dan B Goldman , Szymon Rusinkiewicz , Adam Finkelstein , Maneesh Agrawala, Video puppetry: a performative interface for cutout animation, ACM Transactions on Graphics (TOG), v.27 n.5, December 2008
|
| |
5
|
|
 |
6
|
|
| |
7
|
de La Gorce, M., Paragios, N., and Fleet, D. 2008. Model-Based Hand Tracking with Texture, Shading and Self-occlusions. In Computer Vision and Pattern Recognition (CVPR), 1--8.
|
| |
8
|
Dewaele, G., Devernay, F., Horaud, R. P., and Forbes, F. 2006. The alignment between 3-d data and articulated shapes with bending surfaces. In European Conference on Computer Vision (ECCV), 578--591.
|
 |
9
|
|
 |
10
|
|
| |
11
|
Dorner, B. 1994. Chasing the Colour Glove: Visual Hand Tracking. Master's thesis, Simon Fraser University.
|
 |
12
|
|
| |
13
|
|
| |
14
|
|
| |
15
|
Kersten, D., Mamassian, P., and Knill, D. 1997. Moving cast shadows induce apparent motion in depth. Perception 26, 2, 171--192.
|
 |
16
|
|
 |
17
|
|
 |
18
|
|
 |
19
|
ChanSu Lee , SangWon Ghyme , ChanJong Park , KwangYun Wohn, The control of avatar motion using hand gesture, Proceedings of the ACM symposium on Virtual reality software and technology, p.59-65, November 02-05, 1998, Taipei, Taiwan
[doi> 10.1145/293701.293709]
|
| |
20
|
|
| |
21
|
|
| |
22
|
|
 |
23
|
|
 |
24
|
|
 |
25
|
|
| |
26
|
Scholz, V., Stich, T., Keckeisen, M., Wacker, M., and Magnor, M. A. 2005. Garment motion capture using color-coded patterns. Computer Graphics Forum 24, 3, 439--447.
|
| |
27
|
|
 |
28
|
|
 |
29
|
|
| |
30
|
|
| |
31
|
|
 |
32
|
|
| |
33
|
Sudderth, E. B., Mandel, M. I., Freeman, T., and Willsky, S. 2004. Distributed occlusion reasoning for tracking with nonparametric belief propagation. In Neural Information Processing Systems (NIPS), 1369--1376.
|
 |
34
|
|
| |
35
|
Torralba, A., Fergus, R., and Freeman, W. T. 2007. Tiny images. Tech. Rep. MIT-CSAIL-TR-2007-024, Computer Science and Artificial Intelligence Lab, MIT.
|
| |
36
|
Torralba, A., Fergus, R., and Weiss., Y. 2008. Small codes and large databases for recognition. In Computer Vision and Pattern Recognition (CVPR), vol. 2, 1--8.
|
 |
37
|
|
| |
38
|
White, R., and Forsyth, D. 2005. Deforming objects provide better camera calibration. Tech. Rep. UCB/EECS-2005-3, EECS Department, University of California, Berkeley.
|
 |
39
|
|
 |
40
|
Andrew D. Wilson , Shahram Izadi , Otmar Hilliges , Armando Garcia-Mendoza , David Kirk, Bringing physics to the surface, Proceedings of the 21st annual ACM symposium on User interface software and technology, October 19-22, 2008, Monterey, CA, USA
[doi> 10.1145/1449715.1449728]
|
|