Name
Abstract | ||
|---|---|---|
We propose a novel formulation for determining the absolute pose of a single or multi-camera system given a known vertical direction. The vertical direction may be easily obtained by detecting the vertical vanishing points with computer vision techniques, or with the aid of IMU sensor measurements from a smartphone. Our solver is general and able to compute absolute camera pose from two 2D-3D correspondences for single or multi-camera systems. We run several synthetic experiments that demonstrate our algorithm's improved robustness to image and IMU noise compared to the current state of the art. Additionally, we run an image localization experiment that demonstrates the accuracy of our algorithm in real-world scenarios. Finally, we show that our algorithm provides increased performance for real-time model-based tracking compared to solvers that do not utilize the vertical direction and show our algorithm in use with an augmented reality application running on a Google Tango tablet. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISMAR.2015.20 | International Symposium on Mixed and Augmented Reality |
Keywords | Field | DocType |
Absolute pose, multi-camera system, gravity-aware augmented reality, inertial sensor, model-based tracking | Computer vision,Computer graphics (images),Vertical direction,Computer science,Augmented reality,Robustness (computer science),Inertial measurement unit,Artificial intelligence,Solver,Vanishing point,Computation | Conference |
Citations | PageRank | References |
9 | 0.46 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chris Sweeney | 1 | 101 | 7.42 |
| John Flynn | 2 | 119 | 6.14 |
| Benjamin Nuernberger | 3 | 102 | 5.91 |
| Matthew Turk | 4 | 3724 | 499.42 |
| Tobias Höllerer | 5 | 2666 | 244.50 |