51 results about "Depth imaging" patented technology

The invention relates to the technical field of medical imaging, and discloses a peripheral lung cancer pleural invasion evaluation system based on ultrasonic targeted radiography, comprising: a double-frequency ultrasonic probe configured to independently work at different frequencies to realize depth imaging and high-resolution imaging of lung tissues and suitable for different types of lung lesions; the signal processing module can receive, analyze and process echo signals transmitted by the ultrasonic probe, generate images in real time and extract feature information; and the dynamic motion compensation module is used for automatically adjusting the emission time sequence and parameter setting of the ultrasonic signal based on the real-time breathing motion state of the patient. By adopting the design of the double-frequency ultrasonic probe and the core-shell structure, high-resolution imaging and depth detection of lung tissues are realized. By dynamically adjusting the thickness of the probe shell to be matched with the frequency, the system can adapt to complex tissue environments under different physiological conditions, and image definition and stability are ensured.

The application discloses a wide-range noise robust depth imaging method and system based on RGB guidance. The method steps are as follows: constructing a calibrated RGB-D database; establishing a differentiable physical imaging model, and adding physical constraints of an actual scene to obtain multiple noise-free measurement values; constructing a visual TOF double-branch multi-scale fusion depth reconstruction network, taking depth feature extraction and visual feature extraction fusion as an end-to-end network for iterative optimization, and using color pseudo-edge and Fisher information loss to supervise the network reconstruction effect, and jointly training the encoding function and the depth reconstruction network; inputting test data into the trained encoding function and reconstruction network to reconstruct the depth map of the test scene; and building an RGB-guided wide-range noise robust depth imaging hardware prototype system, and using the optimized encoding function and reconstruction network to reconstruct a high-quality depth map in an actual scene.

The invention relates to the technical field of automatic boxing, in particular to a robot automatic boxing method, system and device based on multi-mode perception feedback control, and the method comprises the steps that the geometric dimension of goods to be loaded is obtained; a boxing space coordinate system fixedly associated with the container body is established above the boxing area, surface appearance data of goods placed in the container area are collected in real time, a three-dimensional height distribution diagram is constructed, and a local protruding area is identified based on the three-dimensional height distribution diagram; and on the basis of the local convex area, in combination with the geometric dimension of the to-be-filled goods, planning an optimal box falling position, and recording the optimal box falling position as a box falling area. According to the method, the packing space coordinate system fixedly associated with the box body is established, the stacking state in the box and the goods to be loaded are sensed in real time in combination with three-dimensional depth imaging, the three-dimensional height distribution diagram reflecting the actual morphology in the box is constructed, and on the basis, the physical dimension of the goods and the height distribution information in the box are fused, so that the packing space coordinate system is obtained. And planning a box falling area with the optimal stability.

Examples are disclosed that relate to motion blur corrections for time-of-flight (ToF) depth imaging. One example provides a depth camera comprising a ToF image sensor, a logic machine, and a storage machine storing instructions executable by the logic machine to receive depth image data from the ToF image sensor, the depth image data comprising phase data and active brightness (AB) data, determine a first two-dimensional (2D) AB image corresponding to a first modulation frequency, and determine a second 2D AB image corresponding to a second modulation frequency. The instructions are further executable to determine a 2D translation based upon a comparison between the first 2D AB image and the second 2D AB image, determine corrected phase data based on the 2D translation to form corrected phase data, perform phase unwrapping on the corrected phase data to obtain a three-dimensional (3D) depth image, and output the 3D depth image.

A method for operating a sparse depth imaging system is presented. The method comprises receiving a depth map of an environment. The depth map comprises a plurality of pixels having locations in an optical sensor coordinate system. A pattern of illuminator dots in an optical source coordinate system is received. Each illuminator dot has a fixed location in a defined plane in the optical source coordinate system. The depth map is projected into a 3D point cloud in the optical sensor coordinate system. Each point in the 3D point cloud is assigned a 2D location in the defined plane. A depth value for each illuminator dot is interpolated based on transformed depth of points in the 3D point cloud. Each illuminator dot is assigned a 3D location in the optical sensor coordinate system. A depth for each illuminator dot is output in the optical sensor coordinate system.

A depth imaging system based on modulated light field, characterized in that it comprises the following modules: a light projection module for projecting discrete light beams to a target object and switching between a modulated light field mode and a uniform light field mode; a light source control module for light emission and control of the switching of the light field mode; a TOF sensing module for receiving the measurement light beams reflected by the target object; a multipath interference elimination module for obtaining image data under the modulated light field mode and the uniform light field mode, estimating the multipath interference component therefrom, removing the measurement error caused by the multipath interference, and outputting a high-precision depth image. The present application can determine the multipath interference component by the background area data in the first image data collected when the discrete light beams are projected to the target object, process the light spot area data to remove the multipath interference component, thereby eliminating the measurement error caused by the multipath interference, and realizing the output of a high-precision depth image.

The application discloses an unsupervised array SAR imaging method with signal-to-noise ratio robustness and target generalization, which is constructed by a deep neural network architecture including two cascaded stages of denoising and reconstruction. In the first stage, the statistical characteristics of the measurement domain are used to remove noise interference, and the pure measurement signal is extracted by using the first stage network. In the second stage, the scene details are recovered by combining the physical forward model and the regularization constraint, and the second stage network is combined with the physical forward projection operator and the regularization constraint. The method overcomes the dependence of the existing deep imaging method on a large amount of high-quality labeled data set, and the defects of high computational complexity and poor noise resistance of the traditional iterative algorithm, and has the characteristics of obtaining high signal-to-noise ratio and high-resolution array SAR images under the condition of only containing noisy observation data, and significantly improving the imaging robustness and generalization ability in complex scenes.

This invention provides a true surface seismic-geological integrated velocity modeling and pre-stack depth imaging method, belonging to the field of seismic imaging technology. The method includes: obtaining a near-surface velocity model using first-arrival tomographic inversion and fusing it with a mid-deep velocity model obtained from a large floating surface of reflected waves to form an initial depth-migrated velocity field; optimizing the velocity model using reflected wave tomographic velocity inversion to construct a true surface isotropic velocity model; extracting azimuth and dip data from an isotropic migration seismic database, and then calculating various parameters of the anisotropic model and obtaining anisotropic velocities through anisotropic model analysis; and repeatedly iterating and updating the model using network tomographic inversion to obtain a multi-information-constrained anisotropic velocity model. This invention solves the problems of slow modeling speed, poor accuracy, poor imaging quality, and low precision in existing true surface seismic-geological velocity modeling and pre-stack depth imaging methods.

Systems and methods for performing sensor fusion using a depth imager and a radar system involve transmitting radio frequency (RF) energy from the radar system to an area and simultaneously transmitting light to the area using a light source, receiving reflected light at the depth imager aligned with the light source, and receiving RF reflections at the radar system. The reflected light is processed to obtain azimuth, elevation, range, range variance, and reflectivity for each pixel making up the area. The RF reflections are processed to provide azimuth, elevation, range, range variance, velocity, and velocity variance for a subset of pixels representing the area of interest. Performing sensor fusion includes using the azimuth, elevation, range variance, and reflectivity generated by the depth imager and the range, velocity, and velocity variance generated by the radar system.

An imaging device (10) based on multi-photon depth imaging and an imaging probe (100) thereof. By using a split structure, a miniaturized imaging probe (100) is achieved. During imaging, the imaging probe (100) can be fixedly connected to an imaging object (20), and a multi-photon effect is excited inside the imaging object (20) by means of excitation light to acquire optical signals inside the imaging object (20), so as to detect internal conditions inside the imaging object (20).

A substrate analysis system includes a load-lock module configured to load or unload a substrate on which a pattern layer is formed; a milling module configured to form a milling surface from which at least a portion of the pattern layer is removed; a depth measuring module configured to measure a milling depth of an analysis region formed on the milling surface; an imaging module configured to capture a two-dimensional image of the analysis region; and a control module controlling the substrate to circulate through the milling module, the depth measuring module, and the imaging module, when the milling depth is shallower than a set target depth, wherein the milling module adjusts a path of the ion beam so that the ion beam moves horizontally in the milling region according to a scanning profile received based on an intensity map of the ion beam.

Disclosed are an imaging device based on multi-photon depth imaging and an imaging probe thereof, and a miniaturized imaging probe is implemented by using a separated structure. During imaging, the imaging probe may be fixedly connected to an imaging object, and an optical signal inside the imaging object may be collected by exciting a multi-photon effect inside the imaging object by excitation light to detect an internal status in the imaging object.

Embodiments of the present application relate to the field of analyzing materials by optical means, and particularly to a method for determining hyperspectral images of a core half-cylinder. The method provided by the embodiments of the present application calibrates a spectral imaging device and a depth imaging device, and associates the depth values and spectral pixel data obtained by the two imaging devices, so as to determine the accurate transformation relationship between the three-dimensional coordinates obtained by the depth imaging device and the two-dimensional pixel coordinates obtained by the spectral imaging device, to realize spatial registration and fusion of core data collected by different devices, and to facilitate subsequent unified analysis of various core data. The real-time collection of hyperspectral data and depth data of the core half-cylinder by the two imaging devices can provide a reference for core curved surface identification and scanning area positioning, and can also assist in the correction of reflectivity data of the core half-cylinder, reduce the reflectivity calculation error, and help to obtain more accurate hyperspectral images of the core half-cylinder.

A device, system, method (100) and computer-program product are disclosed for assisting in the positioning of objects, including a subject and / or auxiliary equipment, on a subject support in an imaging and / or therapy session. The method comprises acquiring (101) image / spatial data that comprises depth / 3D information, using a camera system, of the subject support having (an) object(s) placed thereon. The method comprises obtaining (111) reference data, comprising reference depth / 3D information, representative of the subject support without the object(s) placed thereon. From the image and / or spatial data, at least one geometric attribute of the (or each) object is determined, in which this determining (104) comprises detecting (105) the object(s) by determining (110) 3D points for which the acquired depth / 3D information differs from the reference depth / 3D information and associating these points with the object. The geometric attribute of each object is determined by directly calculating sample statistic(s) of the points associated with the object.

The invention relates to the technical field of petroleum geophysical exploration, and particularly discloses a high-precision seismic imaging method and device for a special geologic body, and the method comprises the steps: carrying out the combined modeling of a plurality of logging wells in a work area, and fitting an imaging constraint factor; performing iterative optimization on the original imaging speed model by taking the imaging constraint factor as a constraint factor; if an iterative optimization result converges, taking the imaging speed model after iterative optimization as a final speed field, carrying out TTI depth domain migration imaging, and outputting imaging data; and if the iterative optimization result is not convergent, re-fitting the imaging constraint factor until the iterative optimization result is convergent. According to work area multi-well combined modeling, special geologic body imaging factors are fitted, imaging constraint factors serve as constraint factors, an original imaging speed model is optimized and adjusted, after iteration, a newest speed achievement model is output, the speed model serves as a final speed field, limitation of conventional depth imaging is avoided, the result is easy to converge, and the method is suitable for large-scale popularization and application. And the well determination accuracy is high.

The embodiment of the invention relates to the field of analyzing materials by using optical means, in particular to a method for determining a hyperspectral image of a semi-cylindrical surface of a rock core. According to the method provided by the embodiment of the invention, a spectral imaging device and a depth imaging device are adopted and calibrated, and depth values obtained by the two imaging devices are associated with spectral pixel data; the accurate transformation relation between the three-dimensional coordinates obtained by the depth imaging device and the two-dimensional pixel coordinates obtained by the spectral imaging device can be determined, space registration and fusion of core data collected by different devices are achieved, and unified analysis of multiple types of subsequent core data is facilitated. The hyperspectral data and depth data of the core semi-cylindrical surface are collected in real time through the two imaging devices, reference can be provided for core curved surface form recognition and scanning area positioning, meanwhile, correction of the reflectivity data of the core semi-cylindrical surface can be assisted, the reflectivity calculation error is reduced, and the calculation accuracy is improved. And a more accurate hyperspectral image of the semi-cylindrical surface of the rock core can be obtained.

This invention discloses a three-dimensional electrical resistivity tomography (EDT) method for detecting cavities based on T-shaped electrode survey lines. A two-dimensional T-shaped electrode survey line advance detection observation system is constructed by deploying two mutually perpendicular survey lines (line 1 and line 2) behind the tunnel face. Electrode electrical resistivity data are collected for both vertical and parallel tunnels, and resistivity depth imaging maps are then established for each. The vertical imaging map determines whether the cavity is located to the left or right of the tunnel face, while the parallel imaging map determines whether it is located in front of or behind the tunnel face. This achieves preliminary two-dimensional planar positioning of the cavity. The detection space around the tunnel face is divided into target units, and through resistivity forward modeling and correlation calculation, correlation imaging results of each target unit are obtained. Ranges exceeding a threshold are delineated in the map, and combined with the preliminary positioning, the three-dimensional spatial location of the cavity is accurately determined, ensuring safe tunnel excavation.

The invention relates to a near-infrared band ratio type rare earth fluorescent nanoprobe as well as a preparation method and application thereof. The ratio-type rare earth fluorescent probe is a nanocrystal with a core-shell structure, an inner core layer of the ratio-type rare earth fluorescent probe is a light-emitting layer which absorbs laser radiation and emits a near-infrared fluorescent wave band, a middle shell layer of the ratio-type rare earth fluorescent probe is a light-emitting shell layer which absorbs laser radiation and emits another near-infrared fluorescent wave band, and an outer shell layer of the ratio-type rare earth fluorescent probe is an inert shell layer. Wherein the inner core layer takes Tm < 3 + > as a light-emitting center, and the light-emitting shell layer takes Er < 3 + > as a light-emitting center. Through difference response of two fluorescence signal wave bands to water absorption, an index relation between ratio-type fluorescence signal intensity and tissue penetration depth is established, and noninvasive depth positioning and imaging of a mouse living body are realized. The fluorescent nanoprobe can be used for depth positioning of blood vessels of the brain, the abdomen and the legs of a mouse and continuous monitoring of a dynamic migration process from the blood vessels to bones, and has a wide application prospect in the aspect of in-vivo ratio depth imaging.

The application discloses a data-driven TOF depth imaging method capable of removing multipath error. The steps are as follows: three-dimensional modeling is carried out for a scene with multipath effect, depth rendering is carried out on the scene to obtain a depth map label and corresponding scene parameters; the scene is described in the form of a triangular mesh, transient rendering based on pbrt is carried out to obtain a pulse response transient map; a learnable modulation function is convolved with the pulse response transient to obtain echo after the modulation function illuminates the scene; a learnable TOF demodulation function is used, multiplied with the output of the previous step, integrated and added with ambient light and noise, and input into a reconstruction subnetwork; the network is trained, a modulation function is obtained, laser is modulated, the scene is illuminated, echo is measured by a photodetector, multiplied with the obtained demodulation function and filtered; and a voltage value is input into the trained reconstruction subnetwork to obtain a depth map. The method enhances the robustness of TOF depth imaging to multipath error and improves imaging accuracy.

The invention provides an image generation device, a head-up display and a vehicle. The image generation device comprises a laser, a scanning module and a developer. The scanning module is arranged on a light emitting path of the laser, and the developer is arranged on a light emitting path of the scanning module. The laser is configured to emit a laser beam; a plurality of continuous imaging planes are arranged in the imaging device in the first direction, the imaging planes are perpendicular to the first direction, and fluorescent materials are arranged in the imaging planes; the scanning module is configured to control the focal point of the laser beam to move in the first direction so that the laser beam can be focused on the target development plane, and control the focal point of the laser beam to conduct two-dimensional scanning in the target development plane so that the laser beam can excite the fluorescent material in the target development plane to generate an image light beam with two-dimensional image information. The image generation device can form a three-dimensional image with real depth information, and can realize multi-depth imaging and three-dimensional display when being subsequently applied to a head-up display.

Depth imaging system implementing the method of any of the previous claims comprising:a. an imaging device (4) comprising a matrix of pixels (1) each pixel comprising a photodetector (9) capable of detecting single photons impinging thereon and optics able to make an image of the field of view on the matrix of pixel (1), said single photon detector having a binary logic status of true when a photon is detected and a logic status of false when no photon is detected in a timeframe;b. a projector (5) able to project a pattern in a time window of less than 10 μsec, preferably less than 1 μsec;c. a controller synchronizing the projector (5) time window and the imaging device timeframe;d. a logic determining, in use, the presence, during the timeframe, of contiguous pixels (11) in the true state, and calculating the depth profile corresponding to said contiguous pixels (11).

The invention relates to a dynamic sparse ultrasonic full-focusing method for a large-wall-thickness structural member, belongs to the field of nondestructive testing, and solves the problems of low full-focusing imaging efficiency, insufficient deep defect detection sensitivity and unbalanced imaging quality at different depths caused by a fixed sparse rate during ultrasonic testing of the large-wall-thickness structural member (the thickness is greater than or equal to 300mm) in the prior art. The method comprises the following steps: S1, acquiring medium sound velocity and total thickness of a detected component and determining array parameters of the detected component; s2, collecting a full-matrix signal covering a detection depth range; s3, establishing an acoustic beam diffusion model, and calculating acoustic beam diffusion widths at different depths; s4, dynamically distributing the array element sparse rate of each depth; and S5, selecting an effective array element according to the sparse rate, calculating the delay time from the effective array element to the focus point, and reconstructing and imaging to obtain a full-focus detection image covering the whole detection depth. Efficient and accurate nondestructive testing of large-wall-thickness structural members such as pressure containers and heavy pipelines is achieved, and imaging quality and detection efficiency are both considered.

The invention discloses a method for automatically measuring the diameter at breast height of a tree based on depth vision, and relates to the technical field of forest resource monitoring, and the method is characterized in that a depth imaging device is used for synchronously collecting RGB-D data streams; carrying out median filtering noise reduction processing on the depth map, and carrying out bounding box labeling and data amplification on the RGB image; carrying out feature extraction and trunk region detection on the RGB image by adopting a lightweight convolutional neural network comprising a dynamic channel attention module; dynamically positioning a chest height section based on camera pose parameters, and extracting a trunk boundary point set by using depth continuity constraint; and mapping the boundary point set to a three-dimensional space to calculate the tree diameter at breast height. According to the invention, the automatic measurement of the diameter at breast height of the tree is realized, the measurement time of a single tree is shortened to 10-15 seconds from traditional manual 2-3 minutes, compared with laser radar measurement equipment, the cost is lower, the size is smaller, the environmental adaptability is higher, and an efficient and economic solution is provided for large-scale forest resource investigation.

The application relates to a kind of neural network-based electric source induction-polarization symbiotic effect multi-parameter imaging method.According to the fractional order model of polarized medium, the conductivity formula is substituted into Maxwell equation, and the electric source induction-polarization symbiotic effect formula is derived.According to the geological data of the experimental area, the polarized medium model of different conductivity, polarization rate, frequency dispersion coefficient and time constant parameters is constructed and numerically simulated to construct a sample set.The structure and activation function of the neural network are optimized, the neural network is trained and the performance is optimized.The neural network is applied to extract the multi-parameter of polarized medium from the measured data of electric source induction-polarization symbiotic effect, and multi-parameter-depth imaging is realized.The purpose of the application is to extract the multi-parameter information of polarized medium, and the conductivity and polarization rate imaging results are more accurate compared with the traditional resistivity imaging method.

The invention discloses a distribution network electrical equipment internal high-timeliness panoramic depth imaging method and a related device, and relates to the technical field of distribution network electrical equipment, and the method comprises the steps: dividing an internal monitoring region of the distribution network electrical equipment into a plurality of positions, and initializing parameters including the total imaging frequency and a defect probability threshold value in a unit observation time window; calculating the defect probability of each position in the internal monitoring area during tth imaging, comparing each defect probability with a defect probability threshold, and when the defect probability is not less than the defect probability threshold, imaging each position through a preset high-quality imaging mode to obtain a panoramic depth photo, and otherwise, performing imaging on each position through a preset high-time-efficiency imaging mode to obtain a full-depth-of-view picture, and outputting the full-depth-of-view picture until the current imaging frequency is not less than the total imaging frequency. According to the invention, the problem that the imaging definition and the imaging timeliness are difficult to consider in the existing panoramic depth imaging process is solved.

Disclosed are an imaging device based on multi-photon depth imaging and an imaging probe thereof, and a miniaturized imaging probe is implemented by using a separated structure. During imaging, the imaging probe may be fixedly connected to the imaging object, and an optical signal inside the imaging object may be collected by exciting a multi-photon effect inside the imaging object through excitation light to detect an internal condition in the imaging object.

The application discloses a kind of methods of super-resolution large depth three-dimensional scanning light sheet microscope, belong to fluorescence imaging technical field, the excitation light is handled by column lens in the present application, the longer excitation objective working distance is obtained using the secondary convergence of the initial light sheet generated, so as to reduce the space conflict between excitation objective and sample;Secondly, the collection objective is placed with a small inclination angle, and is matched with a liquid chamber with the same inclination angle with optical window, and the configuration determines the imaging depth of the collection objective;Then, the collection objective and imaging buffer solution matching the refractive index of the tissue transparent sample are selected, and the configuration can avoid optical aberration to realize high-resolution imaging.By the present application, high-resolution imaging and depth imaging can be realized, and the transverse range of the image can also be improved compared with the prior art, which provides strong support for the research of biological science and clinical medicine.

The application discloses a super-long focal depth vector polarized light imaging system and method for minimum light flux depth imaging, and relates to the field of optical imaging. The system comprises a laser for emitting excitation light; a vector polarized light generator for converting the excitation light into vector polarized light; a phase modulation element for phase modulating the vector polarized light; an imaging module comprising a high numerical aperture objective lens and a silicon oil immersion objective lens for high-precision positioning of fluorescent molecules in biological tissues; and a detection module for receiving and detecting fluorescent signals emitted by the fluorescent molecules to realize positioning and imaging analysis of the fluorescent molecules. The application significantly expands the imaging focal depth through vector polarized light and phase modulation, and can realize high-resolution imaging in tissues with a depth of more than 1 micrometer.

Disclosed is a depth data measuring device comprising a structured light projection unit and an imaging unit. The projection unit includes a laser generator and an LCOS (Liquid Crystal on Silicon) element for generating structured light to illuminate a subject. The LCOS enables fine projection and supports various patterns (e.g., speckles, stripes), enhancing depth imaging accuracy across scenarios. Integration with a VCSEL structure reduces power consumption and allows miniaturization. Additionally, multiple photosensitive units sharing part of the optical path are introduced to shorten the imaging time required for multi-frame depth calculation, thereby improving the frame rate.