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» A new method for camera motion parameter estimation
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117
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IROS
2007
IEEE
154views Robotics» more  IROS 2007»
15 years 9 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
153
Voted
VMV
2003
164views Visualization» more  VMV 2003»
15 years 4 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...
127
Voted
CVPR
2010
IEEE
15 years 12 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
16 years 5 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...
126
Voted
CVPR
2011
IEEE
15 years 1 days 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