RGB-D visual odometry method performs spatial motion segmentation via grid-based scene flow clustering and temporal tracking with a dual-mode rigid motion model to estimate camera pose from static scene parts in dynamic environments.
Effective background model-based rgb-d dense visual odometry in a dynamic environment
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Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model
RGB-D visual odometry method performs spatial motion segmentation via grid-based scene flow clustering and temporal tracking with a dual-mode rigid motion model to estimate camera pose from static scene parts in dynamic environments.