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» Robust Estimation of Camera Motion Using Optical Flow Models
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IROS
2009
IEEE
207views Robotics» more  IROS 2009»
13 years 11 months ago
Estimation of camera motion with feature flow model for 3D environment modeling by using omni-directional camera
Abstract— Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should gener...
Ryosuke Kawanishi, Atsushi Yamashita, Toru Kaneko
IJCV
2000
230views more  IJCV 2000»
13 years 4 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
ECCV
2000
Springer
14 years 6 months ago
Egomotion Estimation Using Quadruples of Collinear Image Points
This paper considers a fundamental problem in visual motion perception, namely the problem of egomotion estimation based on visual input. Many of the existing techniques for solvin...
Manolis I. A. Lourakis
JMIV
2008
142views more  JMIV 2008»
13 years 4 months ago
Camera Motion Estimation Through Planar Deformation Determination
In this paper, we propose a global method for estimating the motion of a camera which films a static scene. Our approach is direct, fast and robust, and deals with adjacent frames...
Claire Jonchery, Françoise Dibos, Georges K...
IROS
2006
IEEE
112views Robotics» more  IROS 2006»
13 years 10 months ago
Pose and Motion from Omnidirectional Optical Flow and a Digital Terrain Map
— An algorithm for pose and motion estimation using corresponding features in omnidirectional images and a digital terrain map is proposed. In previous paper, such algorithm for ...
Ronen Lerner, Oleg Kupervasser, Ehud Rivlin