Abstract:
A method for processing an image of pixels is described. The method includes determining a plurality of features representative of the image, obtaining both information representative of a probability of presence of an object in the image and information representative of a shape of the object by implementing a unique multivariate regression applied to at least a part of the features.
Abstract:
A method and an electronic device for object tracking in a sequence of light-field captures. A data acquisition unit acquires a sequence of light-field captures, wherein each light-field capture comprises a plurality of views. A feature determining unit determines features of an initial visual appearance model for an object of interest in a reference view of a first light-field capture. A feature matching unit matches the features in the reference view and in the further views of the first light-field capture. A feature discarding unit discards features that cannot be well matched in all views of the first light-field capture. An appearance model building unit builds an updated visual appearance model for the object of interest based on the remaining features. Finally, a movement tracking unit tracks the movement of the object of interest in the sequence of light-field captures using the visual appearance model.
Abstract:
A method and a module for segmenting a foreground region from a background region in a 3D scene captured by n capturing devices. A reduced number of 3D samples are selected in the scene. These 3D samples are projected in each captured image. Foreground probability and background probabilities are computed for each selected 3D sample based on color models and the projection of these samples in the images These probabilities are used to update the color models. These probabilities are then re-computed based on the updated color models. These steps are reiterated until the color models or the foreground and background probabilities of the selected 3D samples converge. A final segmentation is computed using foreground color models and foreground and background probabilities.
Abstract:
A method of generating a first image, the method including, for each second image of a set of second images representative of an object, obtaining an information representative of a shape of the object; clustering the second images into a plurality of clusters according to the information; for each cluster of the plurality of clusters, generating the first image using the information associated with each second image of the cluster, the first image being representative of the cluster. A corresponding device is also recited.
Abstract:
The disclosure relates to a method for determining the shape (St) of an object represented in a current image, a plurality of landmarks being associated with the object. According to the disclosure, the method includes determining a plurality of features (Ft) representative of the current image, and the features being determined from at least a part of the plurality of landmarks. The method further obtains information (St) representative of the shape of the object by using at least one parameter (Pt) representative of an estimation of the pose of the object in the current image, the at least one parameter being obtained by implementing a multivariate regression applied to at least a part of the set of features.
Abstract:
The disclosure relates to a method for classifying an object of a current image, a plurality of first landmarks representative of the shape of the object being associated with the current image, a first unique identifier being associated with each first landmark. According to the disclosure, the method includes, for at least a first landmark, a step of obtaining at least a first descriptor describing an area of the current image having the at least first selected landmark. Then, the first landmark is selected according to its first identifier, and when its first identifier corresponds to a second identifier of a second landmark, a second descriptor is used in a classifier for classifying the object. Finally, the method determines information representative of confidence of the shape according to the first descriptor and according to weighting information associated with the second descriptor.
Abstract:
A method and an apparatus for displaying light field video data are described. A receiving unit of the apparatus receives light field video data including a plurality of light field video sequences. Each light field video frames of of the light field video sequences has multiple selectable viewpoints. A light field video frame is provided by an operation unit and displayed on a display device with a first viewpoint. An input unit receives an input indicating a viewpoint different from the first viewpoint. The displayed light field video frame is then displayed with the indicated viewpoint. In one embodiment, two light field video frames of two light field video sequences are displayed respectively in main and side windows on the display device.
Abstract:
The present invention discloses a method for shooting a performance making use of umanned aerial vehicles, such drones for example, to provide the physical markers that are needed to give a physical actor indications on the positioning of virtual elements to be inserted later in the scene, and with which s/he needs to interact.