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» A new method for camera motion parameter estimation
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IROS
2007
IEEE
154views Robotics» more  IROS 2007»
14 years 3 months ago
A Kalman filter-based algorithm for IMU-camera calibration
—Vision-aided inertial navigation systems (V-INSs) can provide precise state estimates for the 3-D motion of a vehicle when no external references (e.g., GPS) are available. This...
Faraz M. Mirzaei, Stergios I. Roumeliotis
VMV
2003
164views Visualization» more  VMV 2003»
13 years 10 months ago
A Parallel Framework for Silhouette-Based Human Motion Capture
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
Christian Theobalt, Joel Carranza, Marcus A. Magno...
CVPR
2010
IEEE
14 years 5 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
ECCV
1996
Springer
14 years 11 months ago
Self-Calibration from Image Triplets
Abstract. We describe a method for determining a ne and metric calibration of a camera with unchanging internal parameters undergoing planar motion. It is shown that a ne calibrati...
Martin Armstrong, Andrew Zisserman, Richard I. Har...
CVPR
2011
IEEE
13 years 5 months ago
Generalized Projection Based M-Estimator: Theory and Applications
We introduce a robust estimator called generalized projection based M-estimator (gpbM) which does not require the user to specify any scale parameters. For multiple inlier structu...
Sushil Mittal, Saket Anand, Peter Meer