New algorithms for automated astrometry.
Published: 2004
Language: eng
Number of pages: 84
Description: In the second approach we search an image for constrained n-star shapes and match them to similar shapes in a pre-computed table. We show that by using constrained shapes we can reduce the time to match  n-star shapes to the order of matching arbitrary 4-star shapes.Finally, we perform experiments on synthetic and real catalogs and show that both approaches perform well.In the 'lost-in-space' astronomy problem we are asked to identify the orientation and field-of-view of an image of the sky by matching stars in an image to stars in a catalog. In this work we present two solutions to the problem.In the first approach we reduce an image to coarse positional information represented by a bit-string. We show that by making one assumption about the image we can efficiently solve the orientation problem using bitwise logical operations over an index.
Notes: Adviser: Sam Roweis.

Thesis (M.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 42-06, page: 2231.

MICR copy on microfiche (1 microfiche).