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» A new method for camera motion parameter estimation
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ICCV
2001
IEEE
14 years 9 months ago
Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera
We present a new on-line scheme for the recognition and pose estimation of a large isolated 3-D object, which may not entirely fit in a camera's field of view. We do not assu...
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis B...
ICRA
2010
IEEE
141views Robotics» more  ICRA 2010»
13 years 6 months ago
A constricted bundle adjustment parameterization for relative scale estimation in visual odometry
— In this paper we address the problem of visual motion estimation (visual odometry) from a single vehicle mounted camera. One of the basic issues of visual odometry is relative ...
Friedrich Fraundorfer, Davide Scaramuzza, Marc Pol...
CVPR
2009
IEEE
15 years 2 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
WACV
2007
IEEE
14 years 2 months ago
Nonlinear Mean Shift for Robust Pose Estimation
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Raghav Subbarao, Yakup Genc, Peter Meer
CORR
2006
Springer
76views Education» more  CORR 2006»
13 years 7 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright