Carnegie Mellon Robotics Institute
Michihiro Uenohara and Takeo Kanade
International Journal of Computers in Biology and Medicine, Vol. 25, No. 2, March, 1995, pp. 249-260.
| Download |
|
| Abstract |
| This paper presents a computer vision based technique for object registration, real-time tracking, and image overlay. The capability can be used to superimpose registered medical images such as those from CT or MRI onto a video image of a patient's body. Real-time object registration enables an image to be overlaid consistently onto objects even while the objects and cameras viewing it are moving. Object registration is composed of feature tracking, feature correspondence, and pose calculation of objects. This technique is based on geometric models of objects, but it can be extended so that some image overlay is possible without a prior model of the object. |
| Notes |
Associated Center(s) / Consortia:
Vision and Autonomous Systems Center Associated Lab(s) / Group(s):
Vision for Virtual Environments Associated Project(s):
Magic Eye |
| Text Reference |
| Michihiro Uenohara and Takeo Kanade, "Vision-Based Object Registration For Real-Time Image Overlay," International Journal of Computers in Biology and Medicine, Vol. 25, No. 2, March, 1995, pp. 249-260. |
| BibTeX Reference |
|
@article{Uenohara_1995_1767, author = "Michihiro Uenohara and Takeo Kanade", title = "Vision-Based Object Registration For Real-Time Image Overlay", journal = "International Journal of Computers in Biology and Medicine", pages = "249-260", month = "March", year = "1995", volume = "25", number = "2", } |
| The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University. Contact Us | Update Instructions |