Abstract: A method in constructing a model of a scenery comprises: receiving (200) a plurality of images depicting the scenery, wherein each image is acquired by a camera (104) from a position at a rotational angle; creating (202) a plurality of sub-models, wherein each sub-model is created by: selecting (400) a basis image; determining (402) images related to the basis image; and determining (404) the sub-model based on the basis image and the related images, wherein the sub-model defines relative positions and rotational angles of the camera (104) for the basis image and the related images and the sub-model further defines three-dimensional structures of objects depicted in the plurality of images; and separately merging (204) the defined relative positions and rotational angles of cameras (104) for the plurality of sub-models.

Abstract: A method in constructing a model of a scenery comprises: receiving (200) a plurality of images depicting the scenery, wherein each image is acquired by a camera (104) from a position at a rotational angle; creating (202) a plurality of sub-models, wherein each sub-model is created by: selecting (400) a basis image; determining (402) images related to the basis image; and determining (404) the sub-model based on the basis image and the related images, wherein the sub-model defines relative positions and rotational angles of the camera (104) for the basis image and the related images and the sub-model further defines three-dimensional structures of objects depicted in the plurality of images; and separately merging (204) the defined relative positions and rotational angles of cameras (104) for the plurality of sub-models.

Abstract: The present invention relates to a method for navigating through a set of images depicting a scenery, said method comprising: receiving information relating to a subset of images within said set of images, said information comprising metadata of each image, said subset of images comprising images being acquired from a geographical position, which is within a bounding area surrounding the geographical position of a current image within the set of images; receiving weight information, said weight information controlling weights to be given to a plurality of different measures of similarities based on different types of metadata; and calculating a plurality of combined measures of similarity for pairs of images in the subset of images, said calculating being performed using said metadata and said weight information.

Abstract: A method in constructing a model of a scenery comprises: receiving (200) a plurality of images depicting the scenery, wherein each image is acquired by a camera (104) from a position at a rotational angle; creating (202) a plurality of sub-models, wherein each sub-model is created by: selecting (400) a basis image; determining (402) images related to the basis image; and determining (404) the sub-model based on the basis image and the related images, wherein the sub-model defines relative positions and rotational angles of the camera (104) for the basis image and the related images and the sub-model further defines three-dimensional structures of objects depicted in the plurality of images; and separately merging (204) the defined relative positions and rotational angles of cameras (104) for the plurality of sub-models.

Abstract: A method for navigating through a set of images depicting a scene comprises providing a graph representation of correlations of the images and receiving input for navigation that includes an indication of a current image and weight information to control weights to be given to a plurality of measures of similarities of edges in the graph. The indication of the current image is used to determine a current node in the graph representation. At least one best ranked transition image is determined related to the current image by an edge from the current node, said determining comprising using the weight information to weigh the plurality of measures of similarities for forming a combined measure of similarity for edges from the current node, and selecting the at least one best ranked transition image based on a comparison of the combined measure of similarity for the edges from the current node.

Abstract: A method for navigating through a set of images depicting a scene comprises: providing a graph representation of correlations of the images; receiving input for navigation through the set of images, said input comprising an indication of a current image in the set of images and weight information to control weights to be given to a plurality of measures of similarities of edges in the graph; accessing the graph representation, wherein the indication of the current image is used to determine a current node in the graph representation; and determining at least one best ranked transition image that is related to the current image by an edge from the current node, said determining comprising using the weight information to weigh the plurality of measures of similarities for forming a combined measure of similarity for edges from the current node; and selecting the at least one best ranked transition image based on a comparison of the combined measure of similarity for the edges from the current node.