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Ellipse Analysis and 3D Computation of Circles the 3D properties of the circular objects. This chapter describes typical procedures for such computations. First, we show how we can compute various attributes of ellipses such as intersections, centers, tangents, and perpendiculars. Then we describe the procedure for computing from an ellipse ima

雜色

Multiview Triangulation it, reconstructing the 3D point positions from multiple images. The basic principle is the same as the two-view case: we optimally correct the observed point positions such that the lines of sight they define intersect at a single point in the scene. We begin with the three-view case and describe t

Living-Will

Bundle Adjustmentdure, called bundle adjustment, for computing from multiple views not only the 3D shape but also the positions, orientations, and intrinsic parameters of all the cameras simultaneously. Specifically, starting from given initial values for all the unknowns, we iteratively update them such that the re

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BARGE

flutter

Accuracy of Geometric Estimationa more generalized mathematical framework. We do a detailed error analysis in general terms and derive explicit expressions for the covariance and bias of the solution. The hyper-renormalization procedure is derived in this mathematical framework.

Cumulus

Maximum Likelihood of Geometric Estimationirst derive the Sampson error as a first approximation to the Mahalanobis distance (a generalization of the geometric distance or the reprojection error) of ML. Then we do high-order error analysis to derive explicit expressions for the covariance and bias of the solution. The hyperaccurate correcti

TATE

chandel