A method and an apparatus for determining a plurality of spatial coordinates on a measurement object using a working head having an image sensor for recording images of the measurement object. A first image of a first feature of the object with the working head in a first working position is recorded. First spatial coordinates representing a spatial position of the first feature are determined using first position information of the working head supplied by an encoder arrangement. The working head is then moved relative to the object to a second working position, where a second image of the object is recorded. Using the first and the second images, second position information which represents a spatial offset of the working head relative to the object is determined. Spatial coordinates for a second feature of the measurement object are determined on the basis of the second position information.

A method and an apparatus for determining a plurality of spatial coordinates on a measurement object using a working head having an image sensor for recording images of the measurement object. A first image of a first feature of the object with the working head in a first working position is recorded. First spatial coordinates representing a spatial position of the first feature are determined using first position information of the working head supplied by an encoder arrangement. The working head is then moved relative to the object to a second working position, where a second image of the object is recorded. Using the first and the second images, second position information which represents a spatial offset of the working head relative to the object is determined. Spatial coordinates for a second feature of the measurement object are determined on the basis of the second position information.

A high-accuracy three-dimensional reconstruction method and system, a computer device, and a storage medium are provided. The method includes: performing calibration on an imaging apparatus; calculating each unidirectional absolute phase distribution diagram of a planar target; establishing an imaging apparatus coordinate system, and fitting corresponding epipolar lines in a normalization plane; calculating intersections between the corresponding planar target and rays formed by points on an epipolar line and an optical center of the imaging apparatus, fitting a projection beam, and establishing a projection mapping coefficient table; and projecting a pattern to an object under test, acquiring an object image of the object under test by using the imaging apparatus, calculating and searching for projection mapping coefficients corresponding to absolute phases in the object image, and calculating corresponding spatial three-dimensional point coordinates by using the projection mapping coefficients.

A high-accuracy three-dimensional reconstruction method and system, a computer device, and a storage medium are provided. The method includes: performing calibration on an imaging apparatus; calculating each unidirectional absolute phase distribution diagram of a planar target; establishing an imaging apparatus coordinate system, and fitting corresponding epipolar lines in a normalization plane; calculating intersections between the corresponding planar target and rays formed by points on an epipolar line and an optical center of the imaging apparatus, fitting a projection beam, and establishing a projection mapping coefficient table; and projecting a pattern to an object under test, acquiring an object image of the object under test by using the imaging apparatus, calculating and searching for projection mapping coefficients corresponding to absolute phases in the object image, and calculating corresponding spatial three-dimensional point coordinates by using the projection mapping coefficients.

A calibration method, an electronic device, and a storage medium are provided. The calibration method includes the following. A sample image is acquired with an image acquisition device. Initial pixel coordinates of multiple sample reference objects in the sample image in an image coordinate system are determined based on the sample image. Straight-line fitting is performed on sample reference objects on a same straight line based on the determined initial pixel coordinates of the sample reference objects in the image coordinate system, and the initial pixel coordinates of the sample reference objects involved in straight-line fitting are corrected based on fitted straight lines to obtain corrected pixel coordinates. A homography matrix of the image acquisition device is determined based on world coordinates of the multiple sample reference objects in the sample image in a world coordinate system and the obtained corrected pixel coordinates.

Techniques for determining a depth of a buried asset are provided. A first point on an AR model of the buried asset is identified. The first point is where a depth of the buried asset is to be determined. An AR device is used to determine coordinates of a second point on a surface corresponding to the first point on the AR model. Coordinates of a third point on the buried asset corresponding to the first point on the AR model are determined. The depth of the buried asset is determined based on the coordinates of the second point on the surface and coordinates of the third point on the buried asset.

Techniques for determining a depth of a buried asset are provided. A first point on an AR model of the buried asset is identified. The first point is where a depth of the buried asset is to be determined. An AR device is used to determine coordinates of a second point on a surface corresponding to the first point on the AR model. Coordinates of a third point on the buried asset corresponding to the first point on the AR model are determined. The depth of the buried asset is determined based on the coordinates of the second point on the surface and coordinates of the third point on the buried asset.

In a method of operating a dimensioning system with a plurality of laser scanners, a processor controls the operations of the scanners and processes the scanner signals, and further with memory for storing data delivered by the processor, the data acquired by the dimensioning system in its regular mode of operation are used to construct a three-dimensional model of surface points of the object including spatial coordinates and image intensity for each surface point. The three-dimensional model is stored in the memory. Based on the three-dimensional model, two-dimensional images from any desired viewing angle that was exposed to the scanner rays can be produced on demand to document the appearance of the object at the time the scan was taken.

Disclosed herein are methods for identifying polyps or lesions in a colon. In some variations, computer-implemented methods for polyp detection may be used in conjunction with an endoscope system to analyze the images captured by the endoscopic system, identify any polyps and/or lesions in a visual scene captured by the endoscopic system, and provide an indication to the practitioner that a polyp and/or lesion has been detected.

Disclosed herein are methods for identifying polyps or lesions in a colon. In some variations, computer-implemented methods for polyp detection may be used in conjunction with an endoscope system to analyze the images captured by the endoscopic system, identify any polyps and/or lesions in a visual scene captured by the endoscopic system, and provide an indication to the practitioner that a polyp and/or lesion has been detected.