Abstract: A computer-implemented method for tracking a human face in a target video includes obtaining target video data of a human face; and estimating parameters of a target human face model, based on the target video data. A first subset of the parameters represents a geometric shape and a second subset of the parameters represents an expression of the human face. At least one of the estimated parameters is modified in order to obtain new parameters of the target human face model, and output video data are generated based on the new parameters of the target human face model and the target video data.

Abstract: The present technology relates to a computer-implemented method for tracking an object in a sequence of multi-view input video images comprising the steps of acquiring a model of the object, tracking the object in the multi-view input video image sequence, and using the model.

Abstract: Algorithms for improving the performance of conventional tone mapping operators (TMO) by calculating both a contrast waste score and a contrast loss score for a first tone-mapped image produced by the TMO. The two contrast scores can be used to optimize the performance of the TMO by reducing noise and improving contrast. Algorithms for generating an HDR image by converting non-linear color space images into linear color space format, aligning the images to a reference, de-ghosting the aligned images if necessary, and merging the aligned (and potentially de-ghosted) images to create an HDR image. The merging can be performed with exposure fusion, HDR reconstruction, or other suitable techniques.

Abstract: The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.

Abstract: Approaches presented herein enable to the interactive exploration of digital videos. The videos can include digital videos that have casually been captured by consumer devices, such as mobile phone cameras, tablets, and the like. Robust methods and systems are presented that enable such digital videos to be explored in interesting and advantageous ways, including transitions and other such features.

Abstract: Systems, devices, methods and arrangements are implemented in a variety of embodiments to facilitate motion capture of objects. Consistent with one such system, three-dimensional representations are determined for at least one object. Depth-based image data is used in the system, which includes a processing circuit configured and arranged to render a plurality of orientations for at least one object. Orientations from the plurality of orientations are assessed against the depth-based image data. An orientation is selected from the plurality of orientations as a function of the assessment of orientations from the plurality of orientations.

Abstract: Algorithms for improving the performance of conventional tone mapping operators (TMO) by calculating both a contrast waste score and a contrast loss score for a first tone-mapped image produced by the TMO. The two contrast scores can be used to optimize the performance of the TMO by reducing noise and improving contrast. Algorithms for generating an HDR image by converting non-linear color space images into linear color space format, aligning the images to a reference, de-ghosting the aligned images if necessary, and merging the aligned (and potentially de-ghosted) images to create an HDR image. The merging can be performed with exposure fusion, HDR reconstruction, or other suitable techniques.

Abstract: The present technology relates to a computer-implemented method for tracking an object in a sequence of multi-view input video images comprising the steps of acquiring a model of the object, tracking the object in the multi-view input video image sequence, and using the model.

Abstract: The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.

Abstract: A variety of methods, devices and storage mediums are implemented for creating digital representations of figures. According to one such computer implemented method, a volumetric representation of a figure is correlated with an image of the figure. Reference points are found that are common to each of two temporally distinct images of the figure, the reference points representing movement of the figure between the two images. A volumetric deformation is applied to the digital representation of the figure as a function of the reference points and the correlation of the volumetric representation of the figure. A fine deformation is applied as a function of the coarse/volumetric deformation. Responsive to the applied deformations, an updated digital representation of the figure is generated.

Abstract: Systems, devices, method and arrangements are implemented in a variety of embodiments to facilitate motion capture of objects. Consistent with one such system, three-dimensional representations are determined for at least one object. Depth-based image data is used in the system, which includes a processing circuit configured and arranged to render a plurality of orientations for at least one object. Orientations from the plurality of orientations are assessed against the depth-based image data. An orientation is selected from the plurality of orientations as a function of the assessment of orientations from the plurality of orientations.

Abstract: A variety of methods, devices and storage mediums are implemented for creating digital representations of figures. According to one such computer implemented method, a volumetric representation of a figure is correlated with an image of the figure. Reference points are found that are common to each of two temporally distinct images of the figure, the reference points representing movement of the figure between the two images. A volumetric deformation is applied to the digital representation of the figure as a function of the reference points and the correlation of the volumetric representation of the figure. A fine deformation is applied as a function of the coarse/volumetric deformation. Responsive to the applied deformations, an updated digital representation of the figure is generated.