• Aucun résultat trouvé

Robust Corner Tracking for Real-Time Augmented Reality

N/A
N/A
Protected

Academic year: 2021

Partager "Robust Corner Tracking for Real-Time Augmented Reality"

Copied!
10
0
0

Texte intégral

Loading

Figure

Figure 2 – Example of 2D planar patterns used for  augmentations.
Figure 3 shows an example of unwarping the pixels within a  connected region, and finding the best matching original  pattern
Figure 5 outlines the basic operation of the 2D tracking  system.
Figure 7 – Successful augmentation onto a partially  occluded pattern
+3

Références

Documents relatifs

9(b), the environment map built by the proposed algorithm in which the map is consistently generated and the loop is almost seamlessly closed. Comparing to the conventional

When compared with existing Kinematic Chain approaches, it can be seen that there is no need to sum partial derivatives along a kinematic chain back to the root in a visual system

Note that in this experiments, for each corner detected by one of the methods (intensity or color based detectors), we used the descriptors calculated from derivatives of the

In this paper, we apply the discriminative-based algorithm (also called visual tracking-by-detection method) to track aircraft/intruder in the midair using UAVs, which employ

Knowledge of the camera’s calibration matrix and its position in the previously calculated world reference point enable the inertial unit to be used [22] so as to limit the

The algorithm has been tested on various images sequences and for various applications (visual servoing, augmented reality,...) which demonstrates a real usability of this

In particular, in Section 5 we report the following discoveries: (1) SOTA trackers struggle to generalize to a large vocabulary of objects, particularly for infrequent object

The activation criterion homogenizes the information con- tained in each cell at each interval of time, and determines the pattern series to be fitted. In the works previously cited,