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Determining Optical Flow (1981)

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by Berthold K. P. Horn , Brian G. Schunck
Venue:ARTIFICIAL INTELLIGENCE
Citations:2366 - 9 self
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BibTeX

@MISC{Horn81determiningoptical,
    author = {Berthold K. P. Horn and Brian G. Schunck},
    title = {Determining Optical Flow},
    year = {1981}
}

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Abstract

Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. A method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image. An iterative implementation is shown which successfully computes the optical flow for a number of synthetic image sequences. The algorithm is robust in that it can handle image sequences that are quantized rather coarsely in space and time. It is also insensitive to quantization of brightness levels and additive noise. Examples are included where the assumption of smoothness is violated at singular points or along lines in the image.

Keyphrases

optical flow    image sequence    synthetic image sequence    optical flow cannot    additive noise    optical flow pattern    brightness pattern    brightness level    second constraint    iterative implementation    independent measurement    flow velocity    singular point    along line    apparent velocity   

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