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SSIAI
2000
IEEE
14 years 1 days ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
CVPR
2008
IEEE
14 years 9 months ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet
ECCV
2008
Springer
14 years 9 months ago
Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery
We address the problem of efficiently estimating the rotation of a camera relative to the canonical 3D Cartesian frame of an urban scene, under the so-called "Manhattan World&...
Patrick Denis, James H. Elder, Francisco J. Estrad...
CVPR
2010
IEEE
14 years 4 months ago
Optimal HDR Reconstruction with Linear Digital Cameras
Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a weighted av...
Miguel Granados Velasquez, Boris Ajdin, Michael Wa...
ICRA
2007
IEEE
164views Robotics» more  ICRA 2007»
14 years 2 months ago
Real Time Biologically-Inspired Depth Maps from Spherical Flow
— We present a strategy for generating real-time relative depth maps of an environment from optical flow, under general motion. We achieve this using an insect-inspired hemisphe...
Chris McCarthy, Nick Barnes, Mandyam Srinivasan