- Abstract:
-
Generating situational awareness by augmenting live imagery with collocated scene information has applications from game-playing to military command and control. We propose a method of object recognition, reconstruction, and localization using triangulation of SIFT features from keyframe camera poses in a 3D map. The map and keyframe poses themselves are recovered at video-rate by bundle adjustment of FAST image features in the parallel tracking and mapping algorithm. Detected objects are aut...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1016/j.imavis.2011.05.002
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- Journal:
- IMAGE AND VISION COMPUTING
- Volume:
- 29
- Issue:
- 8
- Pages:
- 524-532
- Publication date:
- 2011-07-05
- DOI:
- ISSN:
-
0262-8856
- URN:
-
uuid:5c959862-9750-4d04-962e-88f242cccc4f
- Source identifiers:
-
179399
- Local pid:
- pubs:179399
- Language:
- English
- Keywords:
- Copyright date:
- 2011
Journal article
Keyframe-based recognition and localization during video-rate parallel tracking and mapping
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