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Formulation and error analysis for a generalized image point correspondence algorithm
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A Generalized Image Point Correspondence (GIPC) algorithm, which enables the determination of 3-D motion parameters of an object in a configuration where both the object and the camera are moving, is discussed and its accuracy was determined.Abstract:
A Generalized Image Point Correspondence (GIPC) algorithm, which enables the determination of 3-D motion parameters of an object in a configuration where both the object and the camera are moving, is discussed. A detailed error analysis of this algorithm has been carried out. Furthermore, the algorithm was tested on both simulated and video-acquired data, and its accuracy was determined.read more
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Error analysis of surface normals determined by radiometry
TL;DR: Results of surface normal estimation and edge extraction experiments on various non-Lambertian and textured workpieces are presented and Equations for the sensitivity of surface normals to major error sources have been derived.
References
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Book
Solving least squares problems
TL;DR: Since the lm function provides a lot of features it is rather complicated so it is going to instead use the function lsfit as a model, which computes only the coefficient estimates and the residuals.
Journal ArticleDOI
A computer algorithm for reconstructing a scene from two projections
TL;DR: A simple algorithm for computing the three-dimensional structure of a scene from a correlated pair of perspective projections is described here, when the spatial relationship between the two projections is unknown.
Journal ArticleDOI
Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces
Roger Y. Tsai,Thomas S. Huang +1 more
TL;DR: In this article, it was shown that seven point correspondences are sufficient to uniquely determine from two perspective views the three-dimensional motion parameters (within a scale factor for the translations) of a rigid object with curved surfaces.
Proceedings ArticleDOI
Decomposition of transformation matrices for robot vision
TL;DR: A new and simple analytical technique is presented that accomplishes the inverse problem of computing the camera location and orientation from the transformation matrix rather easily and has considerable applications for motion tracking.
Book
Error analysis of surface normals determined by radiometry
TL;DR: Results of surface normal estimation and edge extraction experiments on various non-Lambertian and textured workpieces are presented and Equations for the sensitivity of surface normals to major error sources have been derived.