A dimension measurement method includes: extracting a plurality of lines from a plurality of images generated by shooting a target area from a plurality of viewpoints, and generating a line segment model which is a three-dimensional model of the target area that is expressed using the plurality of lines; calculating a dimension of a particular part inside the target area, using the line segment model; and outputting the dimension calculated.

A distance recommendation device for golf is proposed. As a method for providing a recommended distance from a ball to a target at a third location by the distance recommendation device for the golf, there is provided a distance recommendation method that includes obtaining position information of the ball positioned in each hole, obtaining position information of the target positioned in each hole, and generating a recommended shot distance from the ball to the target on the basis of the obtained information.

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.

A controller obtains plural images generated by an imaging device disposed onboard a vehicle, and analyzes at least first and second images of the plural images to identify a feature of interest that is offboard the vehicle and at least partially depicted in the first and second images. The controller determines a first unit vector for the feature of interest based on a first location of the feature of interest in the first image, and determines a second unit vector for the feature of interest based on a second location of the feature of interest in the second image. The controller calculates a third location of the feature of interest, relative to a physical environment, based on the first unit vector, the second unit vector, and at least one of a first reference location of the vehicle or a second reference location of the vehicle.

Triangulation is applied, by a method and a device, to determine a scene point location in a global coordinate system, GCS, based on location coordinates for observed image points in plural views of a scene, and global-local transformation matrices for the views. The local coordinates are given in local coordinate systems, LCSs, arranged to define distance coordinate axes that are perpendicular to image planes of the views. The scene point location is determined by minimizing a plurality of differences between first and second estimates of the scene point location in the LCSs, the first estimates being given by linear scaling of the location coordinates, and the second estimate being given by operating the transformation matrices on the scene point location. An improved robustness to observation errors is achieved by defining the plurality of differences to penalize differences that includes the linear scaling as applied along the distance coordinate axes.

Read electrodes are provided to drain signal charge of pixels from photoelectric conversion units provided in the pixels separately to a vertical transfer unit. During a first exposure period during which an object is illuminated with infrared light, signal charge obtained from a first pixel, and signal charge obtained from a second pixel adjacent to the first pixel, are added together in the vertical transfer unit to produce first signal charge. During a second exposure period during which the object is not illuminated with infrared light, signal charge obtained from the first pixel, and signal charge obtained from the second pixel adjacent to the first pixel, are transferred without being added to the first signal charge in the vertical transfer unit, and are added together in another packet to produce second signal charge.

Read electrodes are provided to drain signal charge of pixels from photoelectric conversion units provided in the pixels separately to a vertical transfer unit. During a first exposure period during which an object is illuminated with infrared light, signal charge obtained from a first pixel, and signal charge obtained from a second pixel adjacent to the first pixel, are added together in the vertical transfer unit to produce first signal charge. During a second exposure period during which the object is not illuminated with infrared light, signal charge obtained from the first pixel, and signal charge obtained from the second pixel adjacent to the first pixel, are transferred without being added to the first signal charge in the vertical transfer unit, and are added together in another packet to produce second signal charge.

Using one or more patterned markers inside the projector module of a three-dimensional (3D) camera to facilitate automatic calibration of the camera's depth sensing operation. The 3D camera utilizes epipolar geometry-based imaging in conjunction with laser beam point-scans in a triangulation-based approach to depth measurements. A light-sensing element and one or more reflective markers inside the projector module facilitate periodic self-calibration of camera's depth sensing operation. To calibrate the camera, the markers are point-scanned using the laser beam and the reflected light is sensed using the light-sensing element. Based on the output of the light-sensing element, the laser's turn-on delay is adjusted to perfectly align a laser light spot with the corresponding reflective marker. Using reflective markers, the exact direction and speed of the scanning beam over time can be determined as well. The marker-based automatic calibration can periodically run in the background without interfering with the normal camera operation.

In accordance with an aspect of the present disclosure, there is provided a method of updating a high definition map. The method comprises, acquiring two-dimensional images at a plurality of different locations by using a camera mounted on a vehicle; checking a moving trajectory of the camera for acquiring the two-dimensional images; generating a local landmark map by estimating, based on surface information of a road in the high definition map, a three-dimensional position of a landmark for a lane marking around the moving trajectory of the camera; and updating the high definition map based on the local landmark map.