Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
The FoxTrax Hockey Puck Tracking System
IEEE Computer Graphics and Applications
Interactive 3-D Patient-Image Registration
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
Non-Rigid Motion Analysis in Medical Images: a Physically Based Approach
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Multi-step View Synthesis with Occlusion Handling
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Novel view synthesis in tensor space
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Using Adaptive Tracking to Classify and Monitor Activities in a Site
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Markerless Augmented Reality with a Real-Time Affine Region Tracker
ISAR '01 Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR'01)
Using time-of-flight range data for occlusion handling in augmented reality
EGVE'07 Proceedings of the 13th Eurographics conference on Virtual Environments
Expert Systems with Applications: An International Journal
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Developing a seamless merging of real and virtual image streams and 3D models is an active research topic in augmented reality (AR). We propose a method for real-time augmentation of real videos with 2D and 3D objects by addressing the occlusion issue in an unique fashion. For virtual planar objects (such as images), the 2D overlay is automatically overlaid in a planar region selected by the user in the video. The overlay is robust to arbitrary camera motion. Furthermore, a unique background-foreground segmentation algorithm renders this augmented overlay as part of the background if it coincides with foreground objects in the video stream, giving the impression that it is occluded by foreground objects. The proposed technique does not require multiple cameras, camera calibration, use of fiducials, or a structural model of the scene to work. Extending the work further, we propose a novel method of augmentation by using trifocal tensors to augment 3D objects in 3D scenes to similar effect and implement it in real time as a proof of concept. We show several results of the successful working of our algorithm in real-life situations. The technique works on a real-time video from a USB camera, Creative Webcam III, on a P IV 1.6 GHz system without any special hardware support.