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Digital video effects

  • US 8,026,931 B2
  • Filed: 08/28/2006
  • Issued: 09/27/2011
  • Est. Priority Date: 03/16/2006
  • Status: Active Grant
First Claim
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1. A method at least partially implemented by a computing device, the method comprising:

  • identifying a foreground object in a video stream comprising multiple image frames;

    rendering a three-dimensional (3-D) visual feature over a portion of the foreground object to add a digital video effect to the video stream and generate a modified foreground object;

    tracking each pose of the foreground object in 3-D space across the multiple image frames by;

    iteratively refining estimations associated with a first and a second conditional distributions in a joint distribution of a Bayesian network that models the foreground object, the first conditional distribution comprises a distribution of a relative pose given correspondences between 3-D model points and two-dimensional (2-D) features of the foreground object, the second conditional distribution comprises a distribution of matching features of the visual object between two frames of the video sequence given the 3-D model points and a relative pose estimation associated with the first conditional distribution; and

    using a Bayesian fusion of the iteratively refined estimations to obtain a current pose of the foreground object, wherein the iteratively refined estimations include an iteratively refined relative pose estimation and an iteratively refined feature matching estimation; and

    maintaining rendered aspect ratios of the 3-D visual feature in correspondence with aspect ratios of a remaining portion of the foreground object as the foreground object changes pose in respective ones of the image frames.

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