A method for compensating beam angle variation of a beam bundle of laser beams with respective beam angles includes generating the beam bundle using a diffractive optical element, determining a beam angle value from a beam angle of at least one laser beam of a first subset of the laser beams, detecting a light pattern projected by a second subset of the laser beams, and evaluating the light pattern. The evaluation is performed taking into account the beam angle variation of the beam angles of the second subset of the laser beams on the basis of the determined beam angle value.

An apparatus includes an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to (i) generate a reference image and a target image from said pixel data, (ii) perform disparity operations on the reference image and the target image, and (iii) build a disparity angle map in response to the disparity operations. The disparity operations may comprise (a) selecting a plurality of grid pixels, (b) measuring a disparity angle for each grid pixel, (c) calculating a plurality of coefficients by resolving a surface formulation for a disparity angle map of the grid pixels, and (d) generating values in a disparity angle map for the pixel data utilizing the coefficients.

A computer-implemented method of localizing an image of a person captured using a camera is provided, the person in the field of view of a camera, comprising: obtaining the image captured using a camera, the image comprising the person within a bounding box; determining at least one slant value associated with the person within the bounding box; determining head image coordinates and feet image coordinates for the person using the at least one slant value; and localizing the person by projecting the head image coordinates to a head plane and the feet image coordinates for the person to a ground plane.

Calibration in the field is described for stereo and other depth camera configurations using a projector One example includes imaging the first and the second feature in a first camera of the camera system wherein the distance from the first camera to the projector is known, imaging the first and the second feature in a second camera of the camera system, wherein the distance from the second camera to the projector is known, determining a first disparity between the first camera and the second camera to the first feature, determining a second disparity between the first camera and the second camera to the second feature, and determining an epipolar alignment error of the first camera using the first and the second disparities.

An apparatus and method for performing automatic keystone correction and automatic focus correction in a system. In one embodiment, the method comprises analyzing an image projected on a projection surface by a projector of a device and captured by one or more cameras of the device to determine whether shape of the image indicates keystone correction is needed and adjusting display output of the projector to cause the display output to be rectangular on the projection surface.

The present disclosure provides a three-dimensional scanner for acquiring three-dimensional shape information of an object using focusing, including a light source configured to emit light from an emission end face of a housing to the object; a sensor configured to detect light from the light source reflected by the object; a variable focus lens that is provided between the object and the sensor and that changes a focal position based on the object; and a controller configured to change the focal position of the variable focus lens in a process of acquiring the three-dimensional shape information of the object, wherein the controller is configured to change an amount of light from the light source reflected by the object and reaching the sensor based on the focal position of the variable focus lens.

An optical calibration system including a calibration module, a light source, an optical sensing device and a calculation module is provided. The calibration module includes a calibration plane and a plurality of calibration structures between the calibration plane and the light source, wherein the calibration structures are disposed at predetermined calibration positions. The light source projects a linear light section toward the calibration module. The optical sensing device senses reflected light from the calibration plane and the calibration structures reflecting the linear light section to generate a sensed frame. The calculation module calculates positions of gravity centers of a plurality of calibration points in the sensed frame corresponding to the calibration structures.

An object is to provide a technique capable of measuring a shape of an object while maintaining accuracy even when positional accuracy of a mechanism configured to move a probe is insufficient. A measurement control device 210 controls a movement mechanism 500 to move a measurement probe 160 to a target position of a target to be measured, calculates an error between an actual position of the measurement probe 160 detected by the measurement probe 160 and the target position, corrects the error by moving the measurement probe 160 by the movement mechanism 500 based on the calculated error, and then causes the measurement probe 160 to perform a distance measurement.

A method for calibrating an optical arrangement for determining dimensional properties of a measurement object and a coordinate measuring machine implementing the method are disclosed. The optical arrangement has a camera and a projector for projecting a first periodic pattern onto a projection area. The optical arrangement is moveable relative to a workpiece table along a first axis. A matte surface is arranged on the workpiece table at a first position relative to the optical arrangement. A second periodic pattern, which is separate from the first periodic pattern, is provided and shifted on the matte surface. Images of the second pattern are recorded using the camera and at least one distortion aberration of the camera is determined using the second periodic pattern. The first periodic pattern is projected onto the matte surface and first and second coordinates of at least one pattern point of the projected first periodic pattern are determined, the second coordinate with respect to a second axis, which is perpendicular to the first axis. The matte surface is displaced relative to the optical arrangement to a second position along the first axis and the aforementioned steps are repeated for a plurality of relative positions of the matte surface along the first axis.

A calibration method of three-dimensional measurement system includes a projection device, a camera and a processor. The projection device projects structural light to a reference object including a first calibration surface and a second calibration surface. The camera photographs the reference object to obtain at least one reference object image. The processor performs decoding according to the at least one reference object image to obtain a plurality of pieces of phase data of the at least one reference object image. The processor computes a first phase corresponding to the first calibration surface and a second phase corresponding to the second calibration surface according to the phase data, calculates a surface phase difference between the first phase and the second phase, and computes according to the surface phase difference and a height of the second calibration surface relative to the first calibration surface to obtain a phase-height conversion parameter.