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» A new method for camera motion parameter estimation
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MICCAI
2003
Springer
14 years 8 months ago
Estimating Cortical Surface Motion Using Stereopsis for Brain Deformation Models
We present a method for estimating the 3-D structure of the cortical surface using an operating microscope whose binocular optics are fitted with two CCD cameras. The cortical surf...
Hai Sun, Hany Farid, Kyle Rick, Alex Hartov, David...
EMMCVPR
1999
Springer
14 years 2 days ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura

Presentation
891views
15 years 2 months ago
Coding and Modulation in Cameras: Computational Photography beyond Photo Manipulations
Computational photography is an emerging field combining smart optics, electronics, computer vision and graphics. Recent trends in enhancing the capabilities of a camera involve ...
Amit Agrawal
ICIP
2008
IEEE
14 years 9 months ago
EKF pose estimation: How many filters and cameras to use?
The Extended Kalman Filter (EKF) is suitable for real-time pose estimation due its low computational demand and ability to handle the nonlinear perspective camera model. There are...
Mohammad Ehab Ragab, Kin-hong Wong, Jun Zhou Chen,...
CISST
2004
181views Hardware» more  CISST 2004»
13 years 9 months ago
Intrinsic Camera Calibration Based on Radical Center Estimation
Camera calibration is an important step in obtaining 3D information from 2D images. Generally camera parameters can be obtained by using traditional methods if a calibration object...
Dong Hoon Lee, Kyung Ho Jang, Soon Ki Jung