page_title: Homography (computer vision)
hierarchical_section_title: Homography (computer vision)
caption_attribution_description: English: picture of the vision by two cameras of a point in the 3D space, epipolar vision. Français&#160;: image de la vision par deux appareils photo d'un même point en 3D, vision épipolaire.
context_page_description: In the field of computer vision, any two images of the same planar surface in space are related by a homography. This has many practical applications, such as image rectification, image registration, or computation of camera motion—rotation and translation—between two images. Once camera rotation and translation have been extracted from an estimated homography matrix, this information may be used for navigation, or to insert models of 3D objects into an image or video, so that they are rendered with the correct perspective and appear to have been part of the original scene.
context_section_description: In the field of computer vision, any two images of the same planar surface in space are related by a homography (assuming a pinhole camera model).  This has many practical applications, such as image rectification, image registration, or computation of camera motion—rotation and translation—between two images.   Once camera rotation and translation have been extracted from an estimated homography matrix, this information may be used for navigation, or to insert models of 3D objects into an image or video, so that they are rendered with the correct perspective and appear to have been part of the original scene (see Augmented reality).
caption: Geometrical setup for homography: stereo cameras O1 and O2 both pointed at X in epipolar geometry. Drawing from Neue Konstruktionen der Perspektive und Photogrammetrie by Hermann Guido Hauck (1845 — 1905)
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