Abstract: A data processing apparatus for determining a pose of an image capturing device based on an image of a three dimensional (3D) scene is disclosed. The data processing apparatus comprises a processing circuitry configured to: select a plurality of key two dimensional (2D) points of a plurality of 2D points of the image based on a respective score of each of the plurality of 2D points; determine at least for a subset of the plurality of 2D points of the image a respective feature vector for obtaining a plurality of feature vectors; concatenate the image with the plurality of feature vectors for obtaining an intermediate tensor; determine a plurality of 3D points of the 3D scene based on the intermediate tensor; and determine the pose based on the plurality of key 2D points of the image and the plurality of 3D points of the 3D scene using a Perspective-n-Point scheme.

Abstract: A method estimates a camera pose change estimation. The method includes capturing a first image of a scene with a first camera, obtaining a depth map with respect to the first camera based on the first image, capturing a second image of the scene with a second camera. The method also includes obtaining a pose change from the first camera pose to the second camera pose based on the first image and the second image, generating a set of additional pose changes based on the pose change, obtaining a set of reconstructed images and, matching each reconstructed image of the set of reconstructed images with the second image. The method selects a camera pose change estimation from the pose change and the set of additional pose changes that corresponds to a best matching reconstructed image.

Abstract: A lane detection system or a vehicle is provided for determining a current lane of a multi-lane road, which the vehicle is driving on. The lane detection system comprises a processing circuitry configured to: obtain a current image of the multi-lane road, i.e. the driving scene; determine a first candidate current lane, i.e. a first estimate of the current lane, by using the leftmost lane in the current image as a first reference lane; determine a second candidate current lane, i.e. a second estimate of the current lane, by using the rightmost lane in the current image of the multi-lane road as a second reference lane; and determine the current lane of the vehicle in the current image of the multi-lane road on the basis of the first candidate current lane and the second candidate current lane.

Abstract: The invention relates to an image processing apparatus for generating an HDR image associated with a first view on the basis of a plurality of LDR images, including a first LDR image and a second LDR image. The first LDR image is associated with the first view and a first exposure, i.e. a first dynamic range, and the second LDR image is associated with a second view and a second exposure, i.e. a second dynamic range. The image processing apparatus comprises a processor configured to provide a neural network having a plurality of neural subnetworks including a first neural subnetwork. The first neural subnetwork is configured to generate the HDR image on the basis of: (i) the first LDR image, (ii) the second LDR image, and (iii) a modified first LDR image. The modified first LDR image is associated with the first view and the second exposure.

Abstract: A method and an apparatus for generating a High Dynamic Range, HDR, image are proposed. The method comprises obtaining a set of two or more input images, the two or more input images including a reference image and one or more non-reference images; for each of the one or more non-reference images, performing an image analysis which comprises, for each region of a plurality of regions of the non-reference image, assessing whether the region of the non-reference image and a corresponding region of the reference image show the same image content and declaring the region of the non-reference image as valid or as invalid based on the assessment; and generating the HDR image by fusing the reference image and the one or more non-reference images, wherein the fusing comprises, for each of the one or more non-reference images, disregarding the invalid regions of the respective non-reference image.

Abstract: The invention relates to an image processing apparatus for generating an HDR image associated with a first view on the basis of a plurality of LDR images, including a first LDR image and a second LDR image. The first LDR image is associated with the first view and a first exposure, i.e. a first dynamic range, and the second LDR image is associated with a second view and a second exposure, i.e. a second dynamic range. The image processing apparatus comprises a processor configured to provide a neural network having a plurality of neural subnetworks including a first neural subnetwork. The first neural subnetwork is configured to generate the HDR image on the basis of: (i) the first LDR image, (ii) the second LDR image, and (iii) a modified first LDR image. The modified first LDR image is associated with the first view and the second exposure.

Abstract: A method and an apparatus for generating a High Dynamic Range, HDR, image are proposed. The method comprises obtaining a set of two or more input images, the two or more input images including a reference image and one or more non-reference images; for each of the one or more non-reference images, performing an image analysis which comprises, for each region of a plurality of regions of the non-reference image, assessing whether the region of the non-reference image and a corresponding region of the reference image show the same image content and declaring the region of the non-reference image as valid or as invalid based on the assessment; and generating the HDR image by fusing the reference image and the one or more non-reference images, wherein the fusing comprises, for each of the one or more non-reference images, disregarding the invalid regions of the respective non-reference image.

Abstract: An image processing apparatus for processing a digital image, where the digital image comprises a reference block and a plurality of further blocks, and where the image processing apparatus comprises a determiner being configured to determine a plurality of similarity measures between the reference block and the plurality of further blocks, wherein each similarity measure indicates a similarity between a noise distribution in the reference block and a noise distribution in a further block of the plurality of further blocks, and the determiner being further configured to determine a plurality of similar blocks from the plurality of further blocks upon the basis of the plurality of similarity measures.