METHODS AND PROCESSES FOR INTERACTIVE DISPLAY OF THREE DIMENSIONAL COVARIANCE
First Claim
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1. A method for displaying a three-dimensional surface, the method comprising:
- associating a covariance matrix with a first point on the surface;
forming an ellipsoid, the ellipsoid comprising three major axes, each major axis having a length proportional to the square root of an eigenvalue of the covariance matrix, and being parallel to an eigenvector of the covariance matrix;
displaying a two-dimensional projection of the surface; and
displaying a two-dimensional projection of the ellipsoid at the first point.
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Abstract
A system and method for displaying a three-dimensional surface along with ellipsoids representing covariances. In one embodiment, at a point on a three dimensional surface, an ellipsoid is formed having principal axes proportional to the eigenvalues of a covariance matrix. The ellipsoid and the three-dimensional surface are projected onto a two-dimensional plane for display on a two-dimensional screen to a user. The covariance matrix may be an estimated error covariance or a sample covariance.
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20 Claims
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1. A method for displaying a three-dimensional surface, the method comprising:
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associating a covariance matrix with a first point on the surface; forming an ellipsoid, the ellipsoid comprising three major axes, each major axis having a length proportional to the square root of an eigenvalue of the covariance matrix, and being parallel to an eigenvector of the covariance matrix; displaying a two-dimensional projection of the surface; and displaying a two-dimensional projection of the ellipsoid at the first point. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for displaying a three-dimensional surface, the system comprising a processing unit configured to:
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associate a covariance matrix with a first point on the surface; form an ellipsoid, the ellipsoid comprising three major axes, each major axis having a length proportional to the square root of an eigenvalue of the covariance matrix, and being parallel to an eigenvector of the covariance matrix; display a two-dimensional projection of the surface; and display a two-dimensional projection of the ellipsoid at the first point. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification