18947329. DIRECT SCALE LEVEL SELECTION FOR MULTILEVEL FEATURE TRACKING UNDER MOTION BLUR (Snap Inc.)
DIRECT SCALE LEVEL SELECTION FOR MULTILEVEL FEATURE TRACKING UNDER MOTION BLUR
Organization Name
Inventor(s)
Matthias Kalkgruber of Vienna (AT)
DIRECT SCALE LEVEL SELECTION FOR MULTILEVEL FEATURE TRACKING UNDER MOTION BLUR
This abstract first appeared for US patent application 18947329 titled 'DIRECT SCALE LEVEL SELECTION FOR MULTILEVEL FEATURE TRACKING UNDER MOTION BLUR
Original Abstract Submitted
A method for mitigating motion blur in a visual-inertial tracking system is described. In one aspect, the method includes accessing a first image generated by an optical sensor of the visual tracking system, accessing a second image generated by the optical sensor of the visual tracking system, the second image following the first image, determining a first motion blur level of the first image, determining a second motion blur level of the second image, identifying a scale change between the first image and the second image, determining a first optimal scale level for the first image based on the first motion blur level and the scale change, and determining a second optimal scale level for the second image based on the second motion blur level and the scale change.