Combining monoSLAM with object recognition for scene augmentation using a wearable camera
In wearable visual computing, maintaining a time-evolving representation of the 3D environment along with the pose of the camera provides the geometrical foundation on which person-centred processing can be built. In this paper, an established method for the recognition of feature clusters is used o...
Main Authors: | Castle, R, Klein, G, Murray, D |
---|---|
Format: | Journal article |
Sprog: | English |
Udgivet: |
2010
|
Lignende værker
-
A Square Root Unscented Kalman Filter for visual monoSLAM
af: Holmes, S, et al.
Udgivet: (2008) -
Video-rate recognition and localization for wearable cameras
af: Castle, R, et al.
Udgivet: (2007) -
Towards simultaneous recognition, localization and mapping for hand-held and wearable cameras
af: Castle, R, et al.
Udgivet: (2007) -
YPR-SLAM: A SLAM System Combining Object Detection and Geometric Constraints for Dynamic Scenes
af: Xukang Kan, et al.
Udgivet: (2024-10-01) -
JD-SLAM: Joint camera pose estimation and moving object segmentation for simultaneous localization and mapping in dynamic scenes
af: Yujia Zhai, et al.
Udgivet: (2021-02-01)