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ECCV
2008
Springer
14 years 9 months ago
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
Li Xu, Jianing Chen, Jiaya Jia
IROS
2009
IEEE
207views Robotics» more  IROS 2009»
14 years 2 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
MVA
2007
139views Computer Vision» more  MVA 2007»
13 years 9 months ago
A Method for Estimating Rigid Object Motion Using Regularized Scene Flow
In this paper, we propose a method for estimating object motion by three-dimensional scene flow using multiple cameras. The scene flow is regularized by applying subspace constr...
Hiroki Mizuno, Hironobu Fujiyoshi
DAGM
2009
Springer
13 years 11 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
IROS
2006
IEEE
112views Robotics» more  IROS 2006»
14 years 1 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