Abstract: A method for determining calibration data for at least two cameras (camera1, camera2) in a multi view position, includes a step of determining respective parameters ((h100, . . . , h122), (h200, . . . , h222)) for identifying at least one respective homographic transformation on respective images (image1,image2) taken by said cameras of a same scene, by performing respective geometry analyses on said respective images (image1, image2), a step of performing at least one respective combined homographic transformation/feature detection step on said respective images thereby obtaining respective sets (feature set1, feature set2) of features on respective transformed images, such that said calibration data are obtained from matches (m1, . . . , mk) determined between said respective sets of features.

Abstract: A method for obtaining an improved depth precision for a stereo image of an object of interest is disclosed, comprising: imaging a first image of the object of interest from a first position; imaging a second image of the object of interest from a second position different from the first position; wherein the method comprises determining a rough estimate of the depth for the object of interest, based on the first image and the second image; determining an improved set of imaging positions corresponding to an improved depth precision for the object of interest, based on the rough estimate of the depth; imaging improved images from the improved set of imaging positions; determining an improved depth based on the improved images. Also associated systems have been described.

Abstract: A method and device for determining at least one set of matching attributes between a plurality of images is disclosed. Two dimensional images are projected to a three dimensional space then searched for matching attributes. Searching for corresponding attributes is much easier and computationally less intensive in the 3D space compared to a search in the 2D space. The method includes steps of projecting at least part of the images of said plurality to a 3-dimensional space resulting in a plurality of 3-D projected images (image1_3D, image2_3D), searching for at least one corresponding set of elements within the 3D projected images of the plurality of 3-D projected images, and calculating back said corresponding elements within the original images of the plurality and providing said corresponding elements within said original images as said at least one set of matched attributes.