Patents by Inventor René Ranftl

René Ranftl has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Optical flow estimation using 4-dimensional cost volume processing
    Patent number: 10467768
    Abstract: Techniques are provided for estimation of optical flow between images using 4-dimensional cost volume processing. A methodology implementing the techniques according to an embodiment includes extracting a first set of feature vectors from a first image and extracting a second set of feature vectors from a second image. Each feature vector of the first set is associated with a pixel of the first image and each feature vector of the second set is associated with a pixel of the second image. The method further includes constructing a 4-dimensional (4D) cost volume to store a distance metric between each feature vector of the first set of feature vectors and a selected subset of feature vectors of the second set of feature vectors. The method further includes performing a flow-semi-global matching (Flow-SGM) on the 4D cost volume to estimate an optical flow vector for pixels of the first image.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: November 5, 2019
    Assignee: INTEL CORPORATION
    Inventors: Jia Xu, René Ranftl, Vladlen Koltun
  • OPTICAL FLOW ESTIMATION USING 4-DIMENSIONAL COST VOLUME PROCESSING
    Publication number: 20180293454
    Abstract: Techniques are provided for estimation of optical flow between images using 4-dimensional cost volume processing. A methodology implementing the techniques according to an embodiment includes extracting a first set of feature vectors from a first image and extracting a second set of feature vectors from a second image. Each feature vector of the first set is associated with a pixel of the first image and each feature vector of the second set is associated with a pixel of the second image. The method further includes constructing a 4-dimensional (4D) cost volume to store a distance metric between each feature vector of the first set of feature vectors and a selected subset of feature vectors of the second set of feature vectors. The method further includes performing a flow-semi-global matching (Flow-SGM) on the 4D cost volume to estimate an optical flow vector for pixels of the first image.
    Type: Application
    Filed: April 7, 2017
    Publication date: October 11, 2018
    Applicant: INTEL CORPORATION
    Inventors: Jia Xu, René Ranftl, Vladlen Koltun