Abstract: This application discloses a calibration method, a calibration system, and a calibration board. The calibration board includes checkerboard cells arranged on a surface of the calibration board, where at least one dot is arranged in each of the checkerboard cells, the dots of the calibration board include at least a first feature dot and a second feature dot, the first feature dot and the second feature dot are arranged in the checkerboard cells according to a random rule or a specific rule, and a diameter of the first feature dot is greater than a diameter of the second feature dot. The calibration board in this application improves the stability and accuracy of calibration board detection by utilizing characteristics such as a high detection accuracy and a strong anti-blur capability of a dot mark, combining with corner points of checkerboard cells.

Abstract: The specification provides a depth imaging method and device and a computer-readable storage medium. The method includes: controlling an emission module comprising a light emitting device to emit at least two speckle patterns that change temporally to a target object; controlling an acquisition module comprising a light sensor to acquire reflected speckle patterns of the at least two speckle patterns reflected by the target object; and performing spatial-temporal stereo matching by using the reflected speckle patterns and the at least two reference speckle patterns, to calculate offsets of pixel points between speckles of the at least two reference speckle patterns and speckles of the reflected speckle patterns, and calculating depth values of the pixel points according to the offsets.

Abstract: An optical information detection method includes: acquiring a first image captured by a first imaging device, wherein the first image comprises a target full-field projection pattern; extracting features from the first image to obtain first feature information; acquiring second feature information and first graphic information of a reference full-field projection pattern, wherein the first graphic information comprises zero-order information and/or secondary information; calculating a first mapping relationship between the first feature information and the second feature information; mapping the first graphic information to the target full-field projection pattern according to the first mapping relationship, to obtain second graphic information corresponding to the target full-field projection pattern; and calculating target optical information according to the second graphic information.

Abstract: A structured light projection module, a depth camera, and a method for manufacturing the structured light projection module are provided. The module comprises: a light source, comprising a plurality of sub-light sources that are arranged in a two-dimensional array and configured to emit two-dimensional patterned beams corresponding to the two-dimensional array, and the two-dimensional patterned beams comprising two-dimensional patterns; a lens, receiving and converging the two-dimensional patterned beams; and a diffractive optical element, receiving the two-dimensional patterned beams converged and emitted from the lens, and projecting speckle patterned beams corresponding to speckle patterns. The speckle patterns comprise a plurality of image patterns corresponding to the two-dimensional patterns, and the image patterns are rotated by an angle such that edges of the image patterns are not in parallel with a baseline between the structured light projection module and a capture module.

Abstract: A depth image engine and a depth image calculation method are provided. The depth image engine comprises: a buffer, configured to receive a data flow of a first image; an image rotator, configured to perform, after the buffer receives the entire data flow of the first image, a rotation operation on the first image to generate a second image; and a depth value calculator, configured to receive the second image and a reference image to perform a matching calculation on the second image and the reference image to generate a depth image.

Abstract: A depth calculation processor includes: an input port, configured to receive image data from an image sensor; a demultiplexer, connected to the input port, and configured to demultiplex the image data from the input port and output first image data into a first line and second image data into a second line; a grayscale image engine, configured to process the first image data from the first line to generate processed first image data; a depth image engine, configured to receive the second image data from the second line, and calculate depth image data based on the second image data; a multiplexer, configured to output the processed first image data from the grayscale image engine and the depth image data from the depth image engine; and an output port, configured to output the processed first image data and the depth image data from the multiplexer.

Abstract: This application provides a calibration device and a method. The calibration device includes calibration boards arranged at intervals and having board surface parallel to each other, a guide rail disposed at peripheries of the calibration boards, TOF cameras, and a controller. Support frames are arranged at intervals on the guide rail, and the TOF cameras are mounted on the guide rail using the support frames. Distances between the calibration surfaces and the corresponding TOF cameras are different. The controller is connected to the guide rail and the TOF cameras, and configured to send a first set of timing control signals to control the guide rail to carry the TOF cameras to move along the guide rail, and send a second set of timing control signals to the TOF cameras to control the TOF cameras to work simultaneously or alternately to measure distance values between the TOF cameras and the corresponding calibration boards.

Abstract: A depth calculation processor, a data processing method, and a 3D image device are disclosed herein. The depth calculation processor includes: at least two input ports configured to receive a first image data, wherein the first image data comprises at least a structured light image acquired under projection of a structured light; a data processing engine configured to perform a calculation process on the first image data to output a second image data, wherein the second image data comprises at least a depth map, wherein the data processing engine comprises at least a depth processing engine configured to perform a depth calculation process on the structured light image to obtain the depth map; and at least an output port coupled to the data processing engine and configured to output the second image data to a host device.

Abstract: A structured light projection module and a depth camera are provided. The structured light projection module includes: a light source array including a plurality of sub-light sources arranged in a two-dimensional pattern and configured to transmit array beams corresponding to the two-dimensional pattern; a lens configured to receive and converge the array beams; and a diffractive optical element configured to receive the array beams that are emitted after being converged by the lens and project beams in a structured light speckle pattern. The structured light speckle pattern is formed through staggered superposition of at least two secondary structured light speckle patterns. Each secondary structured light speckle pattern is formed through a tiling arrangement of multiple sub-speckle patterns generated by a portion of the sub-light sources, and comprises speckles formed by diffracting an individual sub-light source via the diffractive optical element.

Abstract: A depth calculation processor comprises: an input port, configured to receive image data from an image sensor; a demultiplexer, connected to the input port, and configured to demultiplex the image data from the input port and output first image data into a first line and second image data into a second line; a grayscale image engine, configured to process the first image data from the first line to generate processed first image data; a depth image engine, configured to receive the second image data from the second line, and calculate depth image data based on the second image data; a multiplexer, configured to output the processed first image data from the grayscale image engine and the depth image data from the depth image engine; and an output port, configured to output the processed first image data and the depth image data from the multiplexer.

Abstract: The present disclosure provides a structured light projection module comprising: a Vertical-Cavity Surface-Emitting Laser (VCSEL) array light source that includes a semiconductor substrate and at least two VCSEL sub-arrays arranged thereon. The at least two VCSEL sub-arrays include VCSEL light sources. The structured light projection module further includes a diffractive optical element (DOE) that includes at least two DOE sub-units. The DOE sub-units are respectively corresponding to the VCSEL sub-arrays and configured to project multiple copies of light beams emitted by the corresponding at least two VCSEL sub-arrays.

Abstract: A diffractive optical element for a structured light projection module and a method of using the diffractive optical element are described herein. The diffractive optical element is configured to: receive two-dimensional patterned beams and generate multi-order diffractive beams, wherein the two-dimensional patterned beams are emitted from a structured light projection module, the structured light projection module includes a light source comprising a plurality of sub-light sources arranged in a two-dimensional array, and the two-dimensional patterned beams correspond to the two-dimensional array; and project a plurality of two-dimensional patterned beams, wherein each of the plurality of two-dimensional patterned beams creates a corresponding duplicated pattern, and the duplicated patterns form a speckle pattern having uniform speckle density. The two-dimensional patterned beams can overlap with each other, or not overlap with each other.

Abstract: A system and method for obtaining a target image are provided. The system includes: a floodlight illumination source configured to provide illumination of a first wavelength for a target area; a first acquisition camera configured to acquire a target floodlight image of the first wavelength of the target area; a structured light projector configured to project a structured light image of a second wavelength to the target area; a second acquisition camera configured to acquire the structured light image of the target area; and a processor, connected to the floodlight illumination source, the first acquisition camera, the structured light projector, and the second acquisition camera, and configured to: acquire the target floodlight image and the structured light image; recognize a foreground target in the floodlight image; and extract a target structured light image based on a relative position relationship between the first acquisition camera and the second acquisition camera.

Abstract: A method for correcting errors of a depth camera caused by the temperature includes: obtaining, by at least two depth cameras, a depth image of a current target, wherein two adjacent depth cameras of the at least two depth cameras have a common field of view; modeling a measurement error of the two adjacent depth cameras caused by a temperature change; and correcting the depth image using the modeled measurement error, wherein the corrected depth image has a minimum depth difference in the common field of view.