103 results about "3d measurement" patented technology

The invention discloses a space-time speckle projection three-dimensional imaging method based on multi-frame optical flow alignment. Firstly, a projector based on DLP is used for projecting a space-time speckle pattern to a measured scene, and a binocular camera synchronously collects a three-dimensional space-time speckle image. The calibration parameters of the binocular camera are used to carry out stereo correction on an acquired original speckle image, and a parallax image is generated frame by frame in combination with a coarse-to-fine single-frame speckle matching strategy. And estimating a two-dimensional inter-frame displacement field between continuous disparity maps by using an optical flow method by taking an intermediate frame disparity map as a reference, compensating motion artifacts in a space-time speckle image, and ensuring strict space-time registration of a dynamic target. And based on the speckle image after motion correction, a speckle matching strategy is expanded to a time-space domain, and high-precision multi-frame three-dimensional measurement of a complex dynamic scene is realized. The method is suitable for performing rapid and high-precision three-dimensional modeling on a moving target in an unstructured environment, and can perform accurate three-dimensional measurement on a high-speed dynamic target undergoing any translation or rotation motion.

The invention discloses an anti-shielding three-dimensional scanning measurement field construction method for large-size measurement, and belongs to the technical field of optical three-dimensional measurement. The method comprises the following steps: firstly, performing adaptive sampling based on geometric features of a workpiece to generate a candidate mark point set; secondly, constructing a virtual measurement scene, simulating a dynamic scanning process by using a ray tracing technology, and calculating the visibility and observation quality of each point under multiple viewpoints; then measuring precision is quantified by using a Fisher information matrix, and a layout optimization model which takes maximization of information gain as a target and meets coverage rate and engineering constraint at the same time is established; and finally, solving the model to obtain an optimal mark point subset, and verifying and outputting the optimal mark point subset. According to the method, the problems of measurement interruption, low point distribution efficiency and difficulty in guaranteeing precision caused by shielding of a large-size complex component in scanning are solved, and automatic construction of a high-robustness and high-precision measurement field is realized.

The invention relates to the technical field of three-dimensional measurement and digital twinborn assembly analysis, in particular to a part deformation analysis system based on three-dimensional measurement data driving, which comprises an anisotropic feature decoupling unit for acquiring sparse point cloud data of a flexible target object and generating a purified discrete feature set; the geometric illusion monitoring unit is used for generating an illusion entropy distribution diagram by using an implicit neural representation technology; the adaptive topology fidelity arbitration unit is used for generating a final deformation analysis report based on the illusion entropy distribution diagram; the deformation logic iteration unit is used for dynamically adjusting weight parameters of a resistance deformation decoupling model and a calculation strategy of the geometric illusion entropy according to a final deformation analysis report and downstream assembly feedback; according to the invention, the purity of input data and zero missing detection of deformation are ensured.

A 3D measurement system, a laser scanner and a measurement device are provided. The system includes a 3D measurement device and a 360 degree image acquisition system coupled in a fixed relationship to the 3D measurement device. The 360 degree image acquisition system includes a first photosensitive array operably coupled to a first lens, the first lens having a first optical axis in a first direction, the first lens being configured to provide a first field of view greater than 180 degrees. The image acquisition system further includes a second photosensitive array operably coupled to a second lens, the second lens having a second optical axis in a second direction, the second direction is opposite the first direction, the second lens being configured to provide a second field of view greater than 180 degrees. Wherein the first field of view at least partially overlaps with the second field of view.

The invention relates to a structured light three-dimensional measurement technology, and provides a system joint calibration optimization method fusing three-dimensional offset modeling and phase identity constraint for an industrial field low-precision target scene. The method comprises the following core steps: introducing a three-dimensional offset for a target feature point, and compensating spatial deformation and eliminating scale ambiguity through zero-mean constraint; sub-pixel matching is realized based on a phase identity principle, and projection constraint is enhanced to reduce dependence on a target; and constructing a joint reprojection error function, and adjusting and synchronously optimizing system parameters and offset by means of a bundle method. The prior art depends on a high-precision plane target, and when the target has manufacturing errors, installation warping or pasting deformation, calibration errors can be transmitted through an imaging link, so that the measurement precision is reduced, and target deformation and geometric errors of a projector are difficult to compensate at the same time. The method breaks through the limitation of a traditional inverse camera model, does not need to depend on a high-precision glass target, reduces the hardware cost, and constructs a cooperative compensation mechanism of a target manufacturing error and an imaging parameter. Experiments show that after explicit compensation is carried out on the local deformation of the target by adopting the three-dimensional offset factor, the flatness error gt is detected; on a paper target of 10 microns, the re-projection error of the camera is reduced by 79.6%, and the re-projection error of the projector is reduced by 74.8%; sub-pixel matching is achieved through phase identity constraint, multi-parameter collaborative optimization of bundle adjustment is combined, the high-precision measurement requirement of an industrial site is met, and an efficient solution is provided for high-precision three-dimensional measurement.

The present invention relates to a method for processing three-dimensional measurement data from a scanning probe microscopy system to provide three-dimensional topographic image data, as well as a method for performing scanning probe microscopy, a scanning probe microscopy system, a computer-implemented method, and a computer program product. The method comprises receiving 3D measurement data acquired by the SPM system into a processing device, the 3D measurement data typically mapping the topography of a structure provided by the substrate. The method further comprises digitally constructing model image data using shape contour data of the shape, and a regression operation to fit the model image data to the 3D measurement data. This results in a composite model image of the 3D measurement data that can be used as a topographic image.

To make 3D measurement efficient.SOLUTION: A site information management system comprising a computer including an arithmetic device configured to execute a predetermined process and a storage device connected to the arithmetic device, wherein the arithmetic device includes a site data storage unit configured to store site data including a movement record in which a position and a time at which a worker or work equipment moves in a site are associated with each other, a change location extraction unit configured to determine whether or not there is a time-series change in a site structure from the site data stored in the site data storage unit, and a recommendation unit configured to output information on the estimated change, the recommendation unit sets the determined changed portion as a 3D to be acquired, and outputs information on the region.SELECTED DRAWING: Figure 1

Systems and methods to generate synthetic images for use in a machine learning training set. The process begins with accessing a database of real-world 3-D images of equipment in a power grid, the 3-D images of equipment include 3-D measurements to create a dimensionally accurate and photorealistic model of the equipment. Optionally, the 3-D images could be aged or weathered using imaging editing software. Next, a database of real-world photographs of scenes in which the equipment is installed is accessed. Optionally, the identical scenes can be captured at different times of day, different times of the year, and at different perspectives. Next, using image editing software, the 3-D images of equipment is inserted into at least one of the scenes to form a synthetic image based on a combination of the equipment and the scene in which each of the equipment and the scene were previously captured independently of each other.

The invention relates to a time-of-flight based 3D surveillance system with flexible surveillance zone defining functionality. The invention relates to a surveillance system that detects and / or characterizes movements within or around a monitored infrastructure, such as a building or facility that is monitored to detect intruders. An improved trade-off between rigorous area surveillance and the number of false alarms is provided by improved control of the 3D surveillance device. Input functionality is provided to a user to define a 3D sub-zone within a 3D environment model. A change functionality allows the user to generate a redefined sub-zone by dragging one of the corner points of the 3D sub-zone to a different location within the 3D visualization of the 3D environment model, whereby the shape of the 3D sub-zone is deformed. The input and change functionality serve to provide spatial parameters associated with the redefined sub-zone to the 3D surveillance device and to cause the 3D surveillance device to generate an action in case a movement within the redefined sub-zone is detected by means of 3D measurement data.

A system and method for guiding at least one autonomous vehicle within an area, the system comprising: 3D-measuring means configured to detect the at least one autonomous vehicle and at least one object within the area, identifying means configured to obtain an identity of the at least one autonomous vehicle, aggregating means configured to aggregate information of the position and movement of the at least one autonomous vehicle, processing means configured to generate a set of instructions for the at least one autonomous vehicle, based on a total driving efficiency for said at least one autonomous vehicle and at least one additional vehicle and transmitting means configured to transmit the set of instructions for guiding the at least one autonomous vehicle.

The invention provides a spatial light modulation method and system for Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. According to the method, a Gray code sequence and a high-performance basic modulation matrix are combined, a basic modulation matrix is constructed according to a target image resolution ratio and a sampling rate, a Gray code index sequence with only one different adjacent indexes is generated, a measurement matrix is obtained by rearranging the matrix through a mapping function, and the measurement matrix is loaded to a spatial light modulator to code a light signal; and the double-path detector collects transmitted and reflected light intensity response and performs differential processing, and inputs a compressed sensing reconstruction algorithm to restore an image. According to the invention, stable and efficient information capture at a low sampling rate is realized, the anti-interference capability and repeatability of the system are improved, the hardware compatibility is strong, the implementation cost is low, and the method is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.

The application discloses a method for judging abnormality of flip-chip interconnection of an infrared focal plane device, and comprises the following steps: selecting a same layer lay out layer as a reference surface on four corners of a readout circuit, and the reference surface is close to an antireflection film of an infrared detector focal plane; performing 3D measurement on the four corners of the infrared detector focal plane, and the measurement area needs to contain the antireflection film of the infrared detector focal plane and the same layer lay out layer found on the readout circuit; performing height measurement on the measurement area, and measuring the height from the antireflection film to the readout circuit; calculating the height difference of the four corners, and then judging whether the flip-chip interconnection is abnormal or not. The application can quickly and effectively judge whether the abnormality of the interconnection is caused by the flip-chip interconnection abnormality, and will not cause any damage to the infrared focal plane.

This application relates to a virtual binocular speckle stereo matching method based on local gray-level plane binary segmentation. It pertains to the fields of computer vision, 3D measurement, and stereo vision, and includes the following steps: S1: image loading and parameter settings; S2: local gray-level plane binary segmentation; S3: disparity calculation and sub-pixel optimization based on Hamming distance; S4: disparity map post-processing; sub-pixel interpolation is performed based on the matching cost curve to obtain disparity values ​​with sub-pixel accuracy, resulting in an initial sub-pixel disparity map; S5: depth map calculation and effective value filtering: the initial sub-pixel disparity map is filtered, consistency checked, and outlier removed to obtain an optimized dense disparity map; finally, combined with the calibration parameters of the virtual binocular system, the dense disparity map is converted into a depth map, and the result is visualized. This method has the advantages of high robustness, high accuracy and efficiency, and strong versatility.

This invention provides a real-time adaptive 3D measurement system and method for objects based on microstructured light. The system includes: multiple optical measurement units arranged in an equidistant circular array along the circumference on a ring mounting frame and moving synchronously with a lifting and adjusting mechanism; multiple measurement posture acquisition units, a reference posture monitoring unit, a posture compensation unit, a control unit, a data fusion module, and a quality analysis module. According to this invention, the multiple optical measurement units arranged in a circular array enable multi-view synchronous measurement of the workpiece, avoiding the time consumption and reference conversion errors of traditional indexing measurement methods. The real-time posture monitoring and dynamic compensation mechanism effectively suppresses measurement errors caused by factors such as mechanical vibration and temperature drift, reducing posture-related measurement errors. The system achieves automation, real-time measurement, and high precision in 3D measurement, improving measurement efficiency and accuracy.

The invention provides a Gamma lens and an industrial camera comprising the Gamma lens, the Gamma lens is an optical imaging system, and the Gamma lens sequentially comprises a first lens to a ninth lens with specific diopters and surface types and a diaphragm from an object side to an image side along an optical axis; by optimizing lens configuration, material matching and optical parameters, the problems of small target surface, easy thermal defocus, small inclination angle, small numerical aperture and the like in the prior art are effectively solved; the lens has the advantages of a large imaging target surface (the diameter of an imaging ring is 22 mm), good athermalization performance (the working temperature range is-20 DEG C to + 60 DEG C), a large object plane inclination angle (larger than 50 degrees), a large numerical aperture (NA = 0.12), a specific working wave band (395-415 nm) and the like, and the imaging quality, the environmental adaptability and the measurement precision in the fields of machine vision, 3D measurement and the like are remarkably improved; the invention also discloses an industrial camera comprising the Sammer lens.

Methods and systems are described that generate three-dimensional (3D) measurements from points in two-dimensional (2D) images. An example method includes determining an alignment between a 2D image of a dental site and a 3D surface of the dental site, determining a first point and a second point in the 2D image, projecting the first point and the second point onto the 3D surface based on the alignment between the 2D image and the 3D surface, performing a measurement of a distance between the projected first point and the projected second point on the 3D surface, and displaying at least one of a) a first visualization of the measurement on the 2D image or b) a second visualization of the measurement on the 3D surface.

The application belongs to the technical field of three-dimensional measurement and digital reconstruction, and specifically discloses a pipeline reconstruction and detection method based on a virtual adapter, which comprises the following steps: a multi-view vision system collects multi-angle images of a pipeline to be detected, reconstructs the pipeline and determines a bending point; the pipeline is aligned and matched with the bending point, and an initial conversion matrix of a measurement and digital model coordinate system is obtained based on an SVD decomposition method; a digital model pipeline accessory is projected to a camera image, and an adjustment matrix is obtained by optimization of minimum pixel sum and maximum gradient; a threshold is set to screen edge points, and a final conversion matrix is obtained by optimization of maximum gradient after projection; the accessory is converted to the measurement coordinate system, and is spliced with the reconstructed pipeline to form a complete model, and the bending point and the accessory feature deviation are compared. The application reconstructs the pipeline with complex accessories such as flanges and valves through initial calibration of coordinate conversion, projection optimization and edge point fine adjustment, restores the pipeline and the accessory features completely, and improves the pipeline detection precision.

The invention discloses a rotary 3D profile measurement system, and belongs to the technical field of three-dimensional profile measurement. Comprising a machine body, a 3D measuring unit is installed on the inner side of the machine body, the 3D measuring unit comprises a laser displacement sensor, a rotation driving mechanism, a control module and a data processing module, and the laser displacement sensor is used for measuring contour information of a measured object in the X direction and the Z direction; the rotary driving mechanism comprises a rotary motor fixed on the inner side of the machine body; an angle encoder is mounted at the rotating end of the rotating motor; the rotating end of the rotating motor is fixed to the center of the rotating platform. The laser displacement sensor is fixedly arranged at the bottom of the rotating platform; the control module is connected with the rotation driving mechanism and the laser displacement sensor. The rotary 3D contour measurement system is simple, the scanning range is adjustable, the diameter of a detection circle changes along with the measurement distance, the measurement requirements of different height ranges are met, and multiple welding seam features are detected at the same time through one-time measurement.

The invention discloses a three-dimensional measuring arm with an automatic positioning function, which comprises a measuring arm body, the measuring arm body comprises a base, a plurality of rigid arm rods hinged in sequence, precise angle encoders and an end effector interface, the precise angle encoders and the end effector interface are arranged at the hinged positions and the connecting positions of the rigid arm rods and the base and used for measuring the joint rotation angle, and the rigid arm rods are rotationally connected with the base; one measuring arm body is provided with an automatic positioning structure; the automatic positioning structure comprises a multi-axis inertial measurement unit, a plurality of visual positioning sensors and a plurality of positioning mark points. By means of the mode, the three-dimensional measuring arm with the automatic positioning function is provided with an automatic positioning structure, the position of the measuring arm in a measuring space can be automatically, rapidly and precisely determined without manual intervention, and the measuring efficiency and convenience are greatly improved.

This product is a camera that is used for industrial and surveillance purposes, for example, and is optimized for 3D measurement and object detection.

The application provides a spatial light modulation method and system of Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. The method combines a Gray code sequence and a high-performance basic modulation matrix, a basic modulation matrix is constructed according to a target image resolution and a sampling rate, a Gray code index sequence with only one different adjacent index is generated, a measurement matrix is obtained through a mapping function rearrangement matrix, the measurement matrix is loaded to a spatial light modulator to code light signals, a double-channel detector collects transmission and reflection light intensity responses and performs differential processing, and a compressed sensing reconstruction algorithm is input to recover an image. The application realizes stable and efficient information capture at a low sampling rate, improves the anti-interference ability and repeatability of the system, has strong hardware compatibility, low implementation cost, and is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.

The invention relates to a method for temperature management, in particular for thermal stabilization, of a 3D measurement system, which is configured to optically detect three-dimensional (3D) objects in the environment and to determine a digital three-dimensional image of the objects from this, wherein the 3D measurement system has one or more temperature sensors for detecting temperature values ​​at one or more locations of the 3D measurement system, characterized in that a temperature model of the 3D measurement system or at least individual system components of the 3D measurement system is provided, wherein the temperature model describes the thermal behavior of the 3D measurement system or parts thereof, wherein, based on the temperature model and taking into account the temperature values ​​measured by means of the temperature sensor or temperature sensors, temperature data at various locations of the 3D measurement system are spatially and / or temporally predicted.

A device for detecting assembly defects in a housing comprising a lower half and an upper half to be joined together includes: a 3D measurement data acquisition unit designed to acquire 3D measurement data by three-dimensionally measuring the shape of a bolt located in the lower half or the upper half and the shape of a bolt hole located in the other half of the lower half and the upper half; and a presence / absence unit designed to determine the presence / absence of defects between the bolt and the bolt hole based on the 3D measurement data acquired by the 3D measurement data acquisition unit.

Provided is a method and system for calibrating a three-dimensional (3D) measurement system based on a ray model. The method includes: acquiring corresponding target images at multiple poses, as well as corresponding phase-shifted fringe images and Gray code images; performing center correction on each of the target images to acquire center coordinates of marker points in each of the target images; triangulating the center coordinates of the target images at each target pose to acquire triangular mesh data; calculating object points corresponding to each target pose in a camera coordinate system from each pixel of the target images based on the triangular mesh data, thereby acquiring an object point set corresponding to each pixel, and determining a ray parameter corresponding to the object point set; performing phase extraction on the phase-shifted fringe images and the Gray code images to acquire absolute phase data corresponding to each pixel; and determining a 3D mapping coefficient by coefficient fitting based on the object point set and the absolute phase data corresponding to each pixel, and constructing a lookup table based on the 3D mapping coefficient and the ray parameter to achieve camera calibration.

The present application relates to a five-axis head RTCP parameter calibration and precision detection method based on a tool setting gauge, and relates to the technical field of machine tool five-axis head precision calibration and detection; including clamping a ball head detection rod, activating the tool setting gauge, executing a measurement and detection program at a set angle, calculating and updating RTCP related parameters, automatically calculating geometric precision and outputting results. The present application executes the prepared calibration algorithm, uses the ball head detection rod clamped on the spindle of the five-axis head and the tool setting gauge installed in the working area of the machine tool for calibration and detection, calculates the five-axis head RTCP parameters that need to be updated through the algorithm, tests the related rotary geometric precision of the five-axis head after the data is updated, and outputs a test report. The items that originally need to be tested manually are optimized for automatic testing, human errors and other disturbances are excluded, the efficiency is improved, the utilization value of the tool setting gauge is improved, and the cost of purchasing the corresponding 3D measurement probe for users with automatic calibration needs is saved.

This invention discloses a pixel-by-pixel cross-medium 3D measurement method based on a ray model, belonging to the field of optical measurement technology. Addressing the technical challenge of imaging distortion caused by light refraction of the object under transparent media coverage, this method proposes a novel calibration and reconstruction framework that does not rely on precise modeling of medium parameters. By constructing a structured light projection system and utilizing imaging data of a calibration target in multiple height planes, the method independently calibrates the corresponding object-side ray equation for each camera pixel. Combined with binocular stereo matching and pixel-height mapping techniques, it ultimately achieves high-precision 3D surface reconstruction of cross-medium scenes. This invention is applicable to optical measurement scenarios with unknown or complex refractive interfaces, aiming to overcome the bottlenecks of difficult parameter solving and limited accuracy of traditional pinhole models in cross-medium environments, providing an innovative solution for 3D measurement in complex environments such as underwater and inside protective enclosures.

In a method for functional testing of equipment (1), it is proposed to create a real-world model (7,8) from the details of a virtual 3D model (39) of the equipment, and to detect its spatial position and posture during functional testing using a 3D measuring device (11). The identified posture and position can be used to make virtual objects (3,4) of the 3D model (39) follow the operations in the real-world model (7,8) in a visual impression (20) in virtual reality.

An apparatus and method for dental image analysis includes determining a pixel size of an image. The pixel size enables two-dimensional image-based measurements to be converted into 3D measurements. The pixel size varies on the image due to a difference in distance between the camera that captures the image and the object of interest. A three-dimensional model may be registered to a two-dimensional image, and pixel sizes may be identified based on each object (e.g., each tooth), based on each region, or at each point in the image. Pixel size scaling may be used to identify features in the image for diagnostic or other dental application purposes.