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Optical Flow

Optical Flow

Optical Flow. Digital Photography CSE558, Spring 2003 Richard Szeliski (notes cribbed from P. Anandan). Classes of Techniques. Feature-based methods Extract salient visual features (corners, textured areas) and track them over multiple frames

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293 views • 28 slides
The Brightness Constraint

The Brightness Constraint

=. -. I. I. (. x. ,. y. ). J. (. x. ,. y. ). Where:. t. Insufficient info. The Brightness Constraint. Brightness Constancy Equation:. Linearizing (assuming small (u,v) ):. Each pixel provides 1 equation in 2 unknowns (u,v).

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291 views • 28 slides
The Brightness Constraint

The Brightness Constraint

=. -. I. I. (. x. ,. y. ). J. (. x. ,. y. ). Where:. t. Insufficient info. The Brightness Constraint. Brightness Constancy Equation:. Linearizing (assuming small (u,v) ):. Each pixel provides 1 equation in 2 unknowns (u,v).

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272 views • 27 slides
The Brightness Constraint

The Brightness Constraint

=. -. I. I. (. x. ,. y. ). J. (. x. ,. y. ). Where:. t. Insufficient info. The Brightness Constraint. Brightness Constancy Equation:. Linearizing (assuming small (u,v) ):. Each pixel provides 1 equation in 2 unknowns (u,v).

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277 views • 27 slides
The Brightness Constraint

The Brightness Constraint

=. -. I. I. (. x. ,. y. ). J. (. x. ,. y. ). Where:. t. Insufficient info. The Brightness Constraint. Brightness Constancy Equation:. Linearizing (assuming small (u,v) ):. Each pixel provides 1 equation in 2 unknowns (u,v).

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272 views • 26 slides

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