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An Inertial, Magnetic and Vision Based Trusted Pose Estimation for AR and 3D Data Qualification on Long Urban Pedestrian Displacements.
Nicolas Antigny
Myriam Servières
Valérie Renaudin
Published in:
ISMAR Adjunct (2017)
Keyphrases
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pose estimation
data sets
depth data
computer vision
augmented reality
feature extraction
high quality
d objects
vision system
human computer interaction
missing data
depth information
object recognition and pose estimation