Abstract: Various embodiments relate to a method (700) and system for geo-referencing at least one sensor image. The method comprises the steps of: generating at least one sensor image of a first scene with at least one sensor, accessing a 3D model of the environment comprising geo-coded 3D coordinate data and related to at least one second scene, said second scene encompassing said first scene, matching the sensor image with the 3D model find a section of the 3D model where there is a match between the first and the second scenes, geo-referencing the sensor image based on the geo-coded 3D coordinate data of the found section of the 3D model, and determining a measure related to an uncertainty in the matching between the sensor image and the 3D model.

Abstract: The present invention relates to a method for estimating values for a set of parameters of an imaging system 1. The method comprises taking at least two pictures with the imaging system (1), where the at least two pictures are taken from different positions and where the at least two pictures comprise an at least partially overlapping area. It also comprises sending out pulses to the at least partially overlapping area, and detecting the reflected pulses and calculating distances between a sender of the pulses and the respective point where the pulses were reflected based on the travel time of the pulses. Further, the method comprises associating positioning data to the pictures and to the calculated distance between the points where the pulses were reflected and the sender of the pulses. Said positioning data comprises a position and pointing direction of the imagining system 1 and the sender of the pulses.

Abstract: The invention relates to a method for identifying a difference between a first 3D model of an environment and a second 3D model of the environment. The first and second 3D model each comprise a plurality of points or parts, wherein each point or part of the first and second model comprises geometrical information and texture information. Corresponding points or parts of the first and second 3D model are matched based on the geometrical information and/or the texture information. The matched points or parts of the first and second model are compared to determine at least one difference value based on the geometrical information and the texture information of the first and second model. A difference between the first and second model is identified if the at least one difference value exceeds a predetermined value. The invention also relates to an arrangement, a computer program, and a computer program product.

Abstract: The invention relates to a method for building a 3D model of an area of interest on the surface of a planet. The method comprises providing a plurality of 2D images from satellites, where each 2D image out of the plurality of 2D images at least partly covers the area of interest. Also, each subarea of the area of interest is covered by at least two images, taken from different angles, out of the plurality of 2D images. Bundle adjustments are performed for the plurality of 2D images and the area of interest is divided into parts. For each part of the area of interest at least one combination and preferably all possible combinations out of two images covering that part of the area of interest are taken. Said two images are taken from the at least two images, taken from at least two different angles, out of the plurality of 2D images. Further, for each part of the area, point matching correspondence is established for a set of points for each such combination of two images.

Abstract: The present invention relates to a system (200) and method for determining a relation between a first scene and a second scene. The method comprises the steps of generating at least one sensor image of a first scene with at least one sensor; accessing information related to at least one second scene, said second scene encompassing said first scene, and matching the sensor image with the second scene to map the sensor image onto the second scene. The step of accessing information related to the at least one second scene comprises accessing a 3D map comprising geocoded 3D coordinate data. The mapping involves associating geocoding information to a plurality of positions in the sensor image based on the coordinate data of the second scene.

Abstract: A three dimensional model method based on combination of ground based images and images taken from above. An existing 3D model based on images taken from above is matched with images taken from ground level. All images including information about position and attitudes of the camera when the images from ground level and the images taken from above were taken and direction of each pixel. The method offers an automatically carried out imaging solving or at least mitigating occlusion problems.

Abstract: Various embodiments provide a method for analyzing images generated from at least one imaging system on at least one satellite. The method comprises providing at least three images of an area of interest from the at least one imaging system, the provided images being provided from at least three different angles, establishing point correspondence between the provided images, generating at least two sets of three-dimensional information based on the provided images, wherein the at least two sets of three-dimensional information are generated based on at least two different combinations of at least two of the at least three provided images of the area of interest, and comparing the at least two sets of three-dimensional information so as to determine discrepancies and providing information related to the imaging system and/or errors in the images based on the determined discrepancies. Associated systems, computer programs, and computer program products are also provided.

Abstract: A three dimensional model method based on combination of ground based images and images taken from above. An existing 3D model based on images taken from above is matched with images taken from ground level. All images including information about position and attitudes of the camera when the images from ground level and the images taken from above were taken and direction of each pixel. The method offers an automatically carried out imaging solving or at least mitigating occlusion problems.

Abstract: An automated three dimensional mapping method estimating three dimensional models taking advantage of a plurality of images. Positions and attitudes for at least one camera are recorded when images are taken. The at least one camera is geometrically calibrated to indicate the direction of each pixel of an image. A stereo disparity is calculated for a plurality of image pairs covering a same scene position setting a disparity and a certainty measure estimate for each stereo disparity. The different stereo disparity estimates are weighted together to form a 3D model. The stereo disparity estimates are reweighted automatically and adaptively based on the estimated 3D model.

Abstract: A method and arrangement for estimating 3D-models in a street environment using a stereo sensor technique. At least one pair of sensors are arranged in pairs and are mounted on a bracket. Each pair of sensors is positioned in a common plane. The sensors of each pair are positioned based upon contrast information such that low levels of contrasts in an image plane are avoided. The pairs of sensors are mutually positioned relative to an essentially horizontal plane of the bracket such that the sensors of a sensor pair are positioned horizontally at a distance from each other and one of the sensors above the horizontal plane of the bracket and the other under the horizontal plane.

Abstract: A system and method for mixing a scene with a virtual scenario. An image capturing unit is arranged to capture at least one image so as to cover the scene from a first viewpoint. An image representation generation unit is arranged to generate at least one image representation based on the captured image. A game engine unit is arranged to generate a virtual scenario. An image processing unit is arranged to adapt the at least one image representation based on the generated virtual scenario so as to provide a virtual video sequence.

Abstract: Image-based movement tracking of a number of objects in a particular area. A number of image registration units repeatedly record data pertaining to multiple simultaneous representations of events occurring within the area. At least one stereo-pair of cameras repeatedly record stereo-image data based upon which a data processing unit repeatedly determines a respective position for each of the objects. A first camera and a second camera in the stereo-pair are separated by a base distance. Moreover, the cameras are essentially parallel and directed towards the area, such that a first image plane of the first camera registers a portion of the area, which substantially overlaps a portion of the area registered by a second image plane of the second camera.