Real-time markerless tracking for augmented reality: the virtual visual servoing framework

By Andrew Ian Comport, É. Marchand, Muriel Pressigout, François Chaumette. IEEE Transactions on Visualization and Computer Graphics, 2006

541 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/349e5453f7e6721ec4f4e8522dc06b649763557f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Chao Ma
2. Yibing Song
3. Rynson W. H. Lau
4. Lijun Gong
5. Alexandre Bernardino
6. Ming-Hsuan Yang
7. Wangmeng Zuo
8. Chunhua Shen

In Computer Vision and Pattern Recognition

1. Ming-Hsuan Yang
2. Luc Van Gool
3. Chunhua Shen
4. Wangmeng Zuo
5. Fahad Shahbaz Khan
6. Martin Danelljan
7. Radu Timofte
8. Dacheng Tao

Citations in the corpus

• VITAL: VIsual Tracking via Adversarial Learning (2018, background): “Visual tracking has a wide range of applications including action recognition [7], target analysis [52, 51, 49] and augmented reality [8, 44].”
• Robotic Hand Pose Estimation Based on Stereo Vision and GPU-enabled Internal Graphical Simulation (2016, methodology): “However, their optimization method is based on Virtual Visual Servoing [9] that, being a gradient based method, is prone to converge to local minima.”
• Pose Estimation for Augmented Reality: A Hands-On Survey (2016, unknown): “A non linear optimization approach is then used to estimate the camera pose which minimizes the errors between the selected points and the projected edges [24],”