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Solving Geometric Optimization Problems in Computer Vision

This book explores methods for solving geometric optimization problems in computer vision, focusing on computation of the fundamental matrix, image span, and Gauss-Newton iteration. Learn how to optimize algorithms efficiently to improve visual analysis.

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Solving Geometric Optimization Problems in Computer Vision

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  1. Geometric Optimization Problems in Computer Vision

  2. X x1 x2 x3

  3. Computation of the Fundamental Matrix

  4. b Span(A) Ax O

  5. 1D Gauss-Newton (Newton) iteration.

  6. 1D Gauss-Newton (Newton) iteration (failure)

  7. x1 x0 x2 First step minimizes on line. Second step minimizes function in the plane.

  8. Subdivision search

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