Abstract: A method and system are provided for processing image content. In one embodiment the method comprises receiving a plurality of captured contents showing same scene as captured by one or more cameras having a different focal length and depth maps and generating a consensus cube by obtaining depth map estimations from said received contents. The visibility of different objects in then analysed to create a soft visibility cube that provides visibility information about each content. A color cube is then generated by using information from the consensus and soft visibility cube. The color cube is then used to combine different received contents and generate a single image for the plurality of contents received.

Abstract: Example embodiments provide a color filter pattern for a plenoptic sensor. In some embodiments, the plenoptic sensor is a nona-pixel sensor comprising a plurality of microlenses and a respective 3×3 array of color filter pixels under each microlens. The filter pixels have three different colors, and the colors of the color filter pixels are arranged such that each of the sub-aperture images generated from the plenoptic image has an extended Bayer pattern, and such that the pixels of a refocused image generated by adding the sub-aperture images with a disparity value of zero or one receive contributions from three pixels of the first color, three pixels of the second color, and three pixels of the third color.

Abstract: Some embodiments of an apparatus, for example a light-field apparatus, may include a microlens; a color filter system; and two or more plenoptic subpixel sensors, the two or more plenoptic subpixel sensors comprising two or more photodiodes formed in a silicon layer, wherein a pyramid shape is etched in the two or more respective silicon photodiodes formed in the silicon layer.

Abstract: For multi-view video content represented in the MVD (Multi-view+Depth) format, the depth maps may be processed to improve the coherency therebetween. In one implementation, to process a target view based on an input view, pixels of the input view are first projected into the world coordinate system, then into the target view to form a projected view. The texture of the projected view and the texture of the target view are compared. If the difference at a pixel is small, then the depth of the target view at that pixel is adjusted, for example, replaced by the corresponding depth of the projected view. When the multi-view video content is encoded and decoded in a system, depth map processing may be applied in the pre-processing and post-processing modules to improve video compression efficiency and the rendering quality.

Abstract: In one embodiment of the disclosure, it is proposed a method for encoding a matrix of image views obtained from data acquired by a plenoptic camera. The method is remarkable in that it comprises: obtaining at least one reference image view from a combination of at least two image views from said matrix of image views; encoding image views that are different from said at least one reference image view, based on said at least one reference image view.

Abstract: Processing image information associated with a 3D scene can involve obtaining image data associated with at least one layer of the 3D scene; determining at least one phase increment distribution associated with the at least one layer for modifying at the at least one layer an image size associated with the scene; and determining a propagation of an image wave front, corresponding to the at least one layer, to a result layer at a distance from the scene to form a propagated image wave front at the result layer representing a hologram of the scene, wherein determining the propagation includes applying the at least one phase increment distribution associated with the at least one layer to the image wave front at the at least one layer.

Abstract: A device, an apparatus and associated methods are provided. In one embodiment, the method comprises obtaining a multi-plane image (MPI) representation of a three dimensional (3D) scene. The MPI representation includes a plurality of slices of content from the 3D scene, each slice corresponding to a different depth relative to a position of a first virtual camera. Each slice is decomposed into regular tiles; and the orientation of each tile is determined.

Abstract: The present invention generally relates to an apparatus and a method for obtaining a registration error map representing a level of sharpness of an image. Many methods are known which allow determining the position of a camera with respect to an object, based on the knowledge of a 3D model of the object and the intrinsic parameters of the camera. However, regardless of the visual servoing technique used, there is no control in the image space and the object may get out of the camera field of view during servoing. It is proposed to obtain a registration error map relating to an image of the object of interest generated by computing an intersection of a re-focusing surface obtained from a 3D model of said object of interest and a focal stack based on acquired four-dimensional light-field data relating to said object of interest.

Abstract: To represent a 3D scene, the MPI format uses a set of fronto-parallel planes. Different from MPI, the current MIV standard accepts a 3D scene represented as sequence input pairs of texture and depth pictures as input. To enable transmission of an MPI cube via the MIV-V3C standard, in one embodiment, an MPI cube is divided into empty regions and local MPI partitions that contain 3D objects. Each partition in the MPI cube can be projected to one or more patches. For a patch, the geometry is generated as well as the texture attribute and alpha attributes, and the alpha attributes may be represented as a peak and a width of an impulse. In another embodiment, an MPI RGBA layer of the MPI is cut into sub-images. Each sub-image may correspond to a patch, and the RGB and alpha information of the sub-image are assigned to the patch.

Abstract: A method and system are provided for processing image content. In one embodiment the method comprises receiving a plurality of captured contents showing same scene as captured by one or more cameras having a different focal length and depth maps and generating a consensus cube by obtaining depth map estimations from said received contents. The visibility of different objects in then analysed to create a soft visibility cube that provides visibility information about each content. A color cube is then generated by using information from the consensus and soft visibility cube. The color cube is then used to combine different received contents and generate a single image for the plurality of contents received.

Abstract: A device comprising filtering means having a pattern of at least four blocks wherein a second block is located vertical to a first block, a third block is located horizontal to said first block and a fourth block is located vertical to said third block and horizontal to said second block; and means to generate a new image from images captured using said filtered rays.

Abstract: For multi-view video content represented in the MVD (Multi-view+Depth) format, the depth maps may be processed to improve the coherency therebetween. In one implementation, to process a target view based on an input view, pixels of the input view are first projected into the world coordinate system, then into the target view to form a projected view. The texture of the projected view and the texture of the target view are compared. If the difference at a pixel is small, then the depth of the target view at that pixel is adjusted, for example, replaced by the corresponding depth of the projected view. When the multi-view video content is encoded and decoded in a system, depth map processing may be applied in the pre-processing and post-processing modules to improve video compression efficiency and the rendering quality.

Abstract: In one embodiment of the disclosure, it is proposed a method for encoding a matrix of image views obtained from data acquired by a plenoptic camera. The method is remarkable in that it comprises: obtaining at least one reference image view from a combination of at least two image views from said matrix of image views; encoding image views that are different from said at least one reference image view, based on said at least one reference image view.

Abstract: A device comprising filtering means having a pattern of at least four blocks wherein a second block is located vertical to a first block, a third block is located horizontal to said first block and a fourth block is located vertical to said third block and horizontal to said second block; and means to generate a new image from images captured using said filtered rays.

Abstract: A method for encoding at least one matrix of image views obtained from data acquired by a plenoptic camera is disclosed. Image views of the matrix of image views are partitioned into blocks. For a given image view of the at least one matrix of views, the method includes obtaining at least one block to be encoded and a matching block, wherein a difference between the at least one block to be encoded and the matching block fulfills a block matching criterion; determining a residual block regarding the at least one block to be encoded and the matching block, the determining using modified pixels of the at least one block to be encoded and modified pixels of the matching block according to flux variation parameters associated with a pixel sensor of the plenoptic camera; and encoding the residual block.

Abstract: A method and an apparatus for depth-map estimation between at least two images respectively captured by at least two cameras are disclosed. Extrinsic and intrinsic parameters of the at least two cameras are obtained. Local spatial structure descriptors for each pixel of the at least two images are obtained by transforming a patch of pixels surrounding each pixel, and depth is obtained for at least one pixel of a first image among the at least two images, among at least two depth candidates, each depth candidate being associated with a corresponding pixel in a second image of the at least two images, said corresponding pixel in the second image being determined according to the obtained extrinsic and intrinsic parameters.

Abstract: The present invention generally relates to an apparatus and a method for obtaining a registration error map representing a level of sharpness of an image. Many methods are known which allow determining the position of a camera with respect to an object, based on the knowledge of a 3D model of the object and the intrinsic parameters of the camera. However, regardless of the visual servoing technique used, there is no control in the image space and the object may get out of the camera field of view during servoing. It is proposed to obtain a registration error map relating to an image of the object of interest generated by computing an intersection of a re-focusing surface obtained from a 3D model of said object of interest and a focal stack based on acquired four-dimensional light-field data relating to said object of interest.

Abstract: The disclosure concerns a method for filtering spurious pixels in a depth-map. It is important to filter a depth-map to remove the spurious pixels. One issue when filtering spurious pixels, is to remove them while preserving the boundaries of the real details of the depth-map. A known approach to filter spurious pixels is to use a bi-lateral filter. However, the bi-lateral filter is not efficient to remove the spurious pixels. The proposed solution enables to remove spurious pixels in a depth-map while preserving the sharp edges of the depth-map and smoothing faint details or noise.

Abstract: The present invention generally relates to an apparatus and a method for obtaining a registration error map representing a level of sharpness of an image. Many methods are known which allow determining the position of a camera with respect to an object, based on the knowledge of a 3D model of the object and the intrinsic parameters of the camera. However, regardless of the visual servoing technique used, there is no control in the image space and the object may get out of the camera field of view during servoing. It is proposed to obtain a registration error map relating to an image of the object of interest generated by computing an intersection of a re-focusing surface obtained from a 3D model of said object of interest and a focal stack based on acquired four-dimensional light-field data relating to said object of interest.

Abstract: An apparatus to process a lightfield image of a scene acquired with a lightfield acquisition device comprises means for obtaining a first focal stack and a second focal stack, each comprising images representative of the scene and obtained from a different part of the pixels of the lightfield image. A method of processing the lightfield content is also described.