A Differential Invariant for Zooming

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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5 pages, 7 figures

Scientific paper

This paper presents an invariant under scaling and linear brightness change.
The invariant is based on differentials and therefore is a local feature.
Rotationally invariant 2-d differential Gaussian operators up to third order
are proposed for the implementation of the invariant. The performance is
analyzed by simulating a camera zoom-out.

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