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Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for structure and motion. This paper presents a detailed discussion on the bias of ML estimates derived for these problems. Statistical theory states that although ML estimates attain maximum accuracy in the limit as the sample...
In order to reconstruct 3D structure from image sequences we have to do tracking feature points on the sequence. There are some methods to track feature points on image sequence. One is to track the feature points and remove outliers by the geometric constraints between successive images. Another method is a camera optical system approximated by the affine camera model and tracking feature points...
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