A system and method for aligning projection of an optical indicia on a surface of a large object is disclosed. A reference is disposed in proximity to the object. The reference includes a plurality of markers spaced at intermittent locations. A projection system projects optical indicia onto the surface of the object. A detection system detects the markers disposed upon the reference and signals an image of the markers to a processor for the processor to register a location of the projection system relative to the reference. The reference is aligned with a feature disposed upon the object enabling registration of the markers to the object. A location of the projection system relative to the object is established enabling the projection system to project the optical indicia onto the object to a predetermined location.

A system and method for aligning projection of an optical indicia on a surface of a large object is disclosed. A reference is disposed in proximity to the object. The reference includes a plurality of markers spaced at intermittent locations. A projection system projects optical indicia onto the surface of the object. A detection system detects the markers disposed upon the reference and signals an image of the markers to a processor for the processor to register a location of the projection system relative to the reference. The reference is aligned with a feature disposed upon the object enabling registration of the markers to the object. A location of the projection system relative to the object is established enabling the projection system to project the optical indicia onto the object to a predetermined location.

The invention relates to computer-implemented method for the 3D reconstruction of a ground surface area by stereophotogrammetry, comprising the steps of: determining corrected Rational Polynomial Camera, RPC, models by performing bundle adjustment (BA) of original RPC models each provided with an image of a set of images of the ground surface area acquired by a remote imaging sensor and each associated to a corresponding original projection function ({P.sub.m}) from a 3D object space to a 2D image space, wherein determining the corrected RPC models comprises determining corrected projection functions ({P.sub.m.sup.cor}) from the 3D object space to the 2D image space; and determining (PC) a 3D point cloud representative (3DPC) of the ground surface area by triangulation, based on the corrected RPC models, of stereo correspondences within images of the set of images.

In accordance with the invention, determining the corrected projection functions comprises determining, for each of the original projection function, a 3D corrective rotation around a remote imaging sensor center to be applied in the 3D space before performing the original projection function.

The invention relates to computer-implemented method for the 3D reconstruction of a ground surface area by stereophotogrammetry, comprising the steps of: determining corrected Rational Polynomial Camera, RPC, models by performing bundle adjustment (BA) of original RPC models each provided with an image of a set of images of the ground surface area acquired by a remote imaging sensor and each associated to a corresponding original projection function ({P.sub.m}) from a 3D object space to a 2D image space, wherein determining the corrected RPC models comprises determining corrected projection functions ({P.sub.m.sup.cor}) from the 3D object space to the 2D image space; and determining (PC) a 3D point cloud representative (3DPC) of the ground surface area by triangulation, based on the corrected RPC models, of stereo correspondences within images of the set of images.

In accordance with the invention, determining the corrected projection functions comprises determining, for each of the original projection function, a 3D corrective rotation around a remote imaging sensor center to be applied in the 3D space before performing the original projection function.

Embodiments of the present invention disclose a building height calculation method, device, and storage medium. The method includes: acquiring an original picture including an image of a building; projecting the original picture to a surface of a preset sphere to form a projected picture; performing an edge detection on the image of the building in the projected picture to acquire a pixel height of the building; determining a projection angle of the projection on the preset sphere based on the pixel height of the building; and determining a height of the building based on the projection angle and a distance between the building and a capturing position of the original picture. In the embodiments of the present invention, a projection angle of a building is determined based on an original picture including an image of the building, and the height of the building is determined based on the projection angle and a distance between the building and a capturing position of the original picture. Hence, the height of the building can be obtained automatically and quickly based on the picture without manual involvements, thus reducing the cost of acquisition while improving the acquisition efficiency.

Embodiments of the present invention disclose a building height calculation method, device, and storage medium. The method includes: acquiring an original picture including an image of a building; projecting the original picture to a surface of a preset sphere to form a projected picture; performing an edge detection on the image of the building in the projected picture to acquire a pixel height of the building; determining a projection angle of the projection on the preset sphere based on the pixel height of the building; and determining a height of the building based on the projection angle and a distance between the building and a capturing position of the original picture. In the embodiments of the present invention, a projection angle of a building is determined based on an original picture including an image of the building, and the height of the building is determined based on the projection angle and a distance between the building and a capturing position of the original picture. Hence, the height of the building can be obtained automatically and quickly based on the picture without manual involvements, thus reducing the cost of acquisition while improving the acquisition efficiency.

A depth measuring method and system applicable to a first binocular camera having a zoom lens is provided. The method includes: obtaining a current depth of a target object (S101); determining a focus with which the current depth is measured as a current focus (S102); determining, according to the preset correspondence between depth ranges and focuses, a current reference focus corresponding to a current reference depth range; wherein, the current reference depth range is a depth range in which the current depth falls (S103); determining whether the current focus is the same as the current reference focus; (S104); if the current focus is the same as the current reference focus, determining the current depth as the target depth of the target object (S105); or if the current focus is not the same as the current reference focus, adjusting the current focus to the current reference focus, measuring a current depth of the target object with the adjusted current focus (S106), and proceeding to the operation (S103) of determining, according to preset correspondence between depth ranges and focuses, a current reference focus corresponding to a current reference depth range. An object in various depth ranges is measured with a varying focus. The accuracy of the depth measurement of the target object is thus improved.

A depth measuring method and system applicable to a first binocular camera having a zoom lens is provided. The method includes: obtaining a current depth of a target object (S101); determining a focus with which the current depth is measured as a current focus (S102); determining, according to the preset correspondence between depth ranges and focuses, a current reference focus corresponding to a current reference depth range; wherein, the current reference depth range is a depth range in which the current depth falls (S103); determining whether the current focus is the same as the current reference focus; (S104); if the current focus is the same as the current reference focus, determining the current depth as the target depth of the target object (S105); or if the current focus is not the same as the current reference focus, adjusting the current focus to the current reference focus, measuring a current depth of the target object with the adjusted current focus (S106), and proceeding to the operation (S103) of determining, according to preset correspondence between depth ranges and focuses, a current reference focus corresponding to a current reference depth range. An object in various depth ranges is measured with a varying focus. The accuracy of the depth measurement of the target object is thus improved.

A system and method for aligning projection of an optical indicia on a surface of a large object is disclosed. A reference is disposed in proximity to the object. The reference includes a plurality of markers spaced at intermittent locations. A projection system projects optical indicia onto the surface of the object. A detection system detects the markers disposed upon the reference and signals an image of the markers to a processor for the processor to register a location of the projection system relative to the reference. The reference is aligned with a feature disposed upon the object enabling registration of the markers to the object. A location of the projection system relative to the object is established enabling the projection system to project the optical indicia onto the object to a predetermined location.

A system and method for aligning projection of an optical indicia on a surface of a large object is disclosed. A reference is disposed in proximity to the object. The reference includes a plurality of markers spaced at intermittent locations. A projection system projects optical indicia onto the surface of the object. A detection system detects the markers disposed upon the reference and signals an image of the markers to a processor for the processor to register a location of the projection system relative to the reference. The reference is aligned with a feature disposed upon the object enabling registration of the markers to the object. A location of the projection system relative to the object is established enabling the projection system to project the optical indicia onto the object to a predetermined location.