Abstract: The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.

Abstract: The present invention provides a method and a system for video stabilization in real time. The method comprises the steps of: estimating an optical flow from an previous image, Ii, to a current image, Ii+1; determining an Euclidean transformation, Fi, from the previous image, Ii to the current image, Ii+1, wherein the Euclidean transformation, Fi, comprises a product of rotation, Ri, and scaling, si, and translation, Ti; and transforming the current image, Ii+1, by applying the inverse of the Euclidean transformation, Fi, to the current image, Ii+1, in order to obtain stabilization. The transformation of the current image, Ii+1, is restricted by using Euclidean matrices Ai and Bi, wherein: Ai is used to store absolute frame transformation relative world frame coordinates, Ao is the identity matrix and Ai+1 is equal to AiFi?1 for i?0 and Bi is used to store visualization window coordinate transformation.

Abstract: The present invention provides a method and a system for video stabilization in real time. The method comprises the steps of: estimating an optical flow from an previous image, Ii, to a current image, Ii+1; determining an Euclidean transformation, Fi, from the previous image, Ii to the current image, Ii+1, wherein the Euclidean transformation, Fi, comprises a product of rotation, Ri, and scaling, si, and translation, Ti; and transforming the current image, Ii+1, by applying the inverse of the Euclidean transformation, Fi, to the current image, Ii+1 in order to obtain stabilization. The transformation of the current image, Ii+1, is restricted by using Euclidean matrices Ai and Bi, wherein: Ai is used to store absolute frame transformation relative world frame coordinates, A0 is the identity matrix and Ai+1 is equal to AiFi?1 for i?0 and Bi is used to store visualization window coordinate transformation.

Abstract: The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.