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ICPR
2008
IEEE
15 years 9 months ago
Improvement of feature matching in catadioptric images using gyroscope data
Most of vision-based algorithms for motion and localization estimation requires matching some interest points in a pair of images. After building feature correspondence, it is pos...
Jean Charles Bazin, Inso Kweon, Cédric Demo...
98
Voted
ICMCS
2010
IEEE
121views Multimedia» more  ICMCS 2010»
15 years 1 months ago
Estimating cinematographic scene depth in movie shots
In film-making, the distance from the camera to the subject greatly affects the narrative power of a shot. By the alternate use of Long shots, Medium and Close-ups the director i...
Sergio Benini, Luca Canini, Riccardo Leonardi
119
Voted
ICCV
1995
IEEE
15 years 7 months ago
Real-Time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow
The lure of using motion vision as a fundamental element in the perception of space drives this effort to use flow features as the sole cues for robot mobility. Real-time estimat...
David Coombs, Martin Herman, Tsai-Hong Hong, Maril...
111
Voted
CVPR
2008
IEEE
16 years 5 months ago
Directions of egomotion from antipodal points
We present a novel geometrical constraint on the egomotion of a single, moving camera. Using a camera with a large field-of-view (FOV), the optical flow measured at a single pair ...
John Lim, Nick Barnes
326
Voted
EMMCVPR
2011
Springer
14 years 3 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen