Fanyi Gao, Jianwu Dang, Yangping Wang. Hybrid Tracking Registration of Augmented Reality Based on Salience Detection[J]. Laser & Optoelectronics Progress, 2019, 56(24): 241504
- Laser & Optoelectronics Progress
- Vol. 56, Issue 24, 241504 (2019)
Fig. 1. Overall framework of mixed tracking registration algorithm
Fig. 2. Simulation results of salience combined with center prior. (a) Original image; (b) global salience map; (c) salience map with center prior
Fig. 3. Schematics of feature extraction. (a) FAST feature detection; (b) BRIEF feature descriptor
Fig. 4. Schematic of feature matching. (a) Hamming distance matching; (b) eliminating mismatches
Fig. 5. Tracking results of different algorithms. (a) Box sequence; (b) Liquor sequence
Fig. 6. Central position errors of different algorithms. (a) Box sequence; (b) Liquor sequence
Fig. 7. Tracking registration results of Box sequence. (a) ORB feature and optical flow method; (b) proposed method
Fig. 8. Tracking registration results of Liquor sequence. (a) ORB feature and optical flow method; (b) proposed method
|
Table 1. Average central errors of different algorithmspixel
|
Table 2. Comparison of average tracking speeds of different algorithmsframe/s
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20