1669 results about "3d image" patented technology

The invention relates to the technical field of image processing, and provides an indoor three-dimensional image intelligent rendering method based on image processing. Comprising the following steps of indoor multi-view image acquisition, image preprocessing, intelligent analysis of indoor scene elements, construction of an indoor three-dimensional initial model with attributes, intelligent generation of rendering parameters, adaptive LOD real-time rendering and intelligent interaction optimization. According to the intelligent interaction optimization system, through deep fusion of natural language processing, user preference learning and real-time rendering technologies, a set of efficient, visual and personalized virtual scene rendering interaction process is constructed. According to the method, the problems that traditional graphic software is complex in operation, high in learning cost and low in debugging efficiency are solved, and the user satisfaction and creation efficiency are remarkably improved through an intelligent recommendation and rapid iteration mechanism.

Automatic volumetric quantification can be performed for various parameters of an object by providing volumetric data, such as three-dimensional image data, to at least one neural network. A network can extract features from the data that can be used to infer a point cloud representative of the surface of the object. One or more loss functions can be used to adjust the relevant network parameters. The network can also attempt to infer a segmentation mask for the object, indicating which data values correspond to the object of interest. Since the network performs the segmentation and point cloud generation in parallel, updates to the network parameters can impact the segmentation process, effectively constraining the segmentation based on the inferred shape of the object. Ensuring that the segmentation mask corresponds closely to the surface of the object can cause the segmentation process to be more accurate than conventional segmentation processes alone.

The invention discloses a 2D (two-dimensional) and 3D (three-dimensional) detection method and device for a wafer with bumps. The method comprises the following steps: presetting chip identification information of a chip image in a wafer image, position distribution information of the bumps on a chip and 2D and 3D algorithms; feeding the wafer to a detection table, and collecting a 2D wafer image of the wafer on the detection table; identifying each chip image in the 2D wafer image according to the chip identification information, and judging whether a chip in the wafer to be detected has a 2D defect or not according to a 2D algorithm and each chip image; identifying the actual position of each bump in the wafer to be detected according to the bump position distribution information and a chip image in the 2D wafer image; and scanning each bump according to the actual position by using a 3D image scanning camera to obtain a 3D scanning image, and judging whether a chip has 3D defects in the wafer to be detected or not according to a preset 3D algorithm and the 3D scanning image. According to the invention, 2D and 3D detection can be carried out in a one-stop manner, the detection process is saved, the detection time is shortened, and the yield is improved.

An x-ray apparatus and method can improve x-ray imaging in a variety of ways. For example, the improve x-ray apparatus can reduce scatter from x-ray images acquired by two-dimensional detectors. An improved 2D x-ray apparatus can provide 3D imaging for medical and / or industrial applications. An improved 2D x-ray apparatus and method can produce separate material imaging, and composition analysis for characterization and correlation of image, densitometry, and composition information of individual component or individual material within a single subject. Non-rotational 3D microscopy, combining 2D or 3D full field x-ray imaging and high resolution 2D or 3D x-ray microscopy or spectral absorptiometry and spectroscopy can achieve a higher resolution and wider field of view in x-ray imaging and quantitative analysis in 3D and real time. The x-ray apparatus can improve tracking and / or surgical guidance in time and / or space.

The invention discloses a farmland furrow three-dimensional point cloud data correction method and system based on a laser radar, and relates to the technical field of three-dimensional image processing based on the laser radar, in particular to a three-dimensional image geometric correction technology. The problems that original point cloud data directly obtained under the dynamic operation condition of an existing agricultural machine has geometric distortion, and the shape of a furrow cannot be truly reflected are solved; meanwhile, the problems that furrow quality evaluation seriously depends on low-efficiency manual means, the adaptability of an existing automatic technical scheme to an unstructured field environment is insufficient, and robust, real-time and high-precision perception of a real three-dimensional shape of a furrow cannot be achieved are solved. According to the method, dynamic tilt correction is carried out through real-time acquisition of point cloud and agricultural machine attitude information, boundary feature points are extracted, boundary lines are fitted, and a three-dimensional point cloud set of a single furrow is reconstructed by fusing a self-adaptive clustering algorithm of spatial prior. The method is suitable for the fields of farmland tillage and soil preparation quality detection, precision agricultural management, agricultural machinery intelligent operation and the like under the dynamic operation condition of agricultural machinery.

The invention relates to the technical field of three-dimensional image data processing, in particular to a priori constraint-based tower point cloud and model multi-scale registration method and system. The method comprises the following steps: S1, performing standardization processing on multi-source data to enable to-be-registered point cloud data to be matched with a point cloud representation standard of a prior knowledge base of a candidate model; s2, preliminary screening; s3, performing coarse registration, and performing candidate model rapid screening and key point priority sampling strategies; s4, fine registration is carried out, soft constraint optimization is adopted, priori knowledge is quantized into weights, and weighted ICP and nonlinear least square are combined for solving; and S5, performing matching scoring according to the matching parameters, and obtaining an optimal matching result of the to-be-registered point cloud data and the candidate model of coarse registration. A self-learning priori knowledge base is constructed, a high-confidence matching result is fed back to update the priori base, a dynamic weight adjustment strategy and a candidate screening rule are realized, and the adaptability of the system to different pole tower models is improved.

The invention provides an organoid drug reaction whole-course monitoring system, and relates to the technical field of data monitoring, and the system comprises an acquisition module which is used for acquiring a three-dimensional image sequence of an organoid at a set time interval, and monitoring the concentration data of metabolites in a culture solution to obtain multi-source monitoring data; the processing module is used for performing voxelization processing on the three-dimensional image sequence to form a time sequence three-dimensional voxel data set; and the calculation module is used for calculating barycentric coordinates of the organ-like structure based on the three-dimensional space distribution characteristics of the organ-like structure in the time sequence three-dimensional voxel data set, and establishing two mutually orthogonal space analysis axes in the maximum cross section of the organ-like structure by taking the barycentric coordinates as the center. According to the method, comprehensive and dynamic monitoring and evaluation of the organoid drug reaction process are realized through multi-source data collaborative acquisition, standardized spatial analysis, accurate form dynamic extraction, form and metabolism time sequence correlation modeling and real-time time sequence registration evaluation.

The invention provides a cable three-dimensional imaging method based on multi-modal features and physical constraints, and the method comprises the steps: generating a three-dimensional frequency domain-spatial domain coupling field according to a terahertz image and an X-ray image which are used for detecting a cable, carrying out the tensor decomposition of the three-dimensional frequency domain-spatial domain coupling field, and taking a core tensor as a cross-modal feature; after a fusion weight is calculated through the cross-modal features, the terahertz image and the X-ray data image are subjected to weighted fusion through the fusion weight, and a fusion image is generated; determining a target function for physical constraint, and performing iterative optimization on the fused image by adopting the fusion weight based on the target function until convergence to obtain a target image; target image reconstruction is accelerated in parallel through quantum derivation, and a three-dimensional image of the cable is obtained. Therefore, deep integration of structure information and material attributes in different modal images is realized, and the imaging quality of the three-dimensional image is improved.

The invention discloses a carbon dioxide seepage dominant channel judgment and permeation enhancement effect evaluation method and system, and the method comprises the following steps: obtaining three-dimensional image data through the three-dimensional CT scanning of a rock sample before and after a CO2 mineralization storage experiment reaction, extracting a crack network as a topological structure center line skeleton, calculating the topological indexes of a network structure, and calculating the permeability enhancement effect of the network structure; a fracture network topological structure model constructed based on a graph theory is coupled with a discrete fracture network model for CO2 flow simulation, an equivalent permeability tensor is obtained, an improved Dijkstra shortest path algorithm is adopted, spatial distribution of CO2 seepage dominant channels is obtained, dominant channel characteristics before and after transformation are compared with the equivalent permeability tensor, the seepage enhancement effect is quantitatively evaluated, and the CO2 seepage enhancement effect is obtained. And changing injection conditions to perform multi-group simulation under different working conditions, calculating the seepage enhancement effect and the mineralization reaction rate under different injection conditions, establishing a quantitative evaluation model of the mineralization sealing permeation enhancement effect, and realizing sealing effect prediction and seepage enhancement effect evaluation.

The invention discloses a postpartum pelvic floor function evaluation system based on three-dimensional image reconstruction, which belongs to the technical field of medical image processing and biomechanical analysis and comprises an ultrasonic image acquisition module, a three-dimensional reconstruction module, a tissue elasticity analysis module, a rehabilitation scheme generation module and a visual display module. Performing three-dimensional space registration and feature point extraction through a multi-angle ultrasonic image sequence, and realizing three-dimensional reconstruction of a pelvic floor anatomical structure with the precision of 0.2 mm by using a multi-scale fusion network; a deep learning neural network is adopted to extract tissue features, and elastic modulus distribution is calculated through a strain analysis model; an individualized rehabilitation training plan is automatically generated according to an evaluation result, and the rehabilitation effect is improved by 75%; according to the postpartum pelvic floor function evaluation system and method, the three-dimensional visual display and rehabilitation process tracking functions are provided, accurate evaluation and scientific rehabilitation guidance of the postpartum pelvic floor function are achieved, the screening efficiency is improved by 320%, and the clinical application value is remarkable.

The invention provides a data labeling method and system, and the method comprises the steps: carrying out the voxelization processing of a laser radar point cloud and a three-dimensional image of a target scene, and obtaining multi-scale voxel features; performing sparse interaction on the point cloud voxel features and the image voxel features of the same scale to generate multi-modal sparse interaction voxel features; determining a three-dimensional bounding box of at least one target object in the target scene and a corresponding confidence coefficient; according to a natural language instruction provided by a user and used for describing a target object, generating a description text corresponding to the natural language instruction through the large language model; driving a preset prompt type visual model based on the description text, and generating a two-dimensional segmentation mask corresponding to the target object through an iterative interaction mode; according to the method, the three-dimensional bounding box is matched with the two-dimensional segmentation mask, and the semantic category represented by the two-dimensional segmentation mask is labeled to the matched three-dimensional bounding box, so that the manual intervention frequency is reduced, and the labeling efficiency, flexibility and consistency are improved.

The invention provides a preparation method and device of a three-dimensional layered puzzle, electronic equipment and a storage medium, and the method comprises the following steps: obtaining a two-dimensional design image, and carrying out the preprocessing of the two-dimensional design image; performing stereoscopic enhancement processing on the preprocessed two-dimensional design image to generate a preliminary three-dimensional image; processing the preliminary three-dimensional image to generate a three-dimensional model; layering the three-dimensional model to form a plurality of required target layers; performing arrangement layout on the plurality of target layers, and outputting a drawing of the plurality of target layers including the optimal arrangement layout; and a layered cutting file is generated according to the drawing, the manufacturing equipment receives the layered cutting file, and puzzle layer modules are manufactured. The method has the beneficial effects that the whole preparation process of the jigsaw type toy is automatic, manual intervention is not needed from two-dimensional drawing to layered jigsaw design, the limitation of dependence on a designer in the prior art is broken through, output files are directly in butt joint with production equipment, industrial practicability is achieved, and the manufacturing cost is reduced.

The invention relates to an AI image navigation method, device and equipment for prostatic hyperplasia minimally invasive surgery and a medium thereof. The method comprises the following steps: acquiring a prostate three-dimensional image and an intraoperative real-time image sequence, and fusing the three-dimensional image after preliminary filtering to obtain an optimized and enhanced image; based on the enhanced image and the preoperative three-dimensional image, a three-dimensional offset vector is obtained through a multi-modal registration algorithm combined with an anatomical structure reference, and optimized prostate three-dimensional attitude data is generated in combination with anatomical constraints; combining the attitude data and the three-dimensional image, determining boundary area distribution characteristics, calculating a risk assessment value, mapping a risk level, and generating a path correction instruction to obtain an instrument navigation path if the risk level exceeds a threshold value; and based on the navigation path, constructing a clinical recovery model in combination with the anatomical structure, generating postoperative recovery index simulation data, and performing adjustment and verification until preset requirements are met to obtain a final operation execution scheme. According to the method, precision and individuation of surgical navigation are achieved, and comprehensive technical support is provided for precise implementation of minimally invasive surgery.

An apparatus comprises an interface and a processor. The interface may be configured to receive at least four pixel data streams corresponding to an exterior view from a vehicle. The processor may be configured to process the at least four pixel data streams arranged as video frames, calculate depth information for each pixel of the at least four pixel data streams using the video frames, calculate a 3D point cloud by fusing the depth information for each of the at least four pixel data streams, and generate 3D images for a 3D display in response to the 3D point cloud. The 3D display may be configured to direct an autostereoscopic image to a viewer.

The invention discloses a three-dimensional ultrasonic imaging method, a related device, equipment and a storage medium, and the method comprises the steps: obtaining first echo data and second echo data of a target object detected by an ultrasonic array in a row excitation column receiving mode and a column excitation row receiving mode, and building a three-dimensional coordinate system based on the ultrasonic array; based on the echo signal of the array element, the flight time of the ultrasonic signal between the array element and the target point is extracted; analyzing the flight time based on the echo signal of the array element, and calculating to obtain a space coordinate of a target point pointed by the array element; obtaining a first three-dimensional image based on the spatial coordinates of the target point respectively analyzed by each echo signal in the first echo data, and obtaining a second three-dimensional image based on the spatial coordinates of the target point respectively analyzed by each echo signal in the second echo data; and based on the first three-dimensional image and the second three-dimensional image, fusing to obtain a target three-dimensional image. According to the scheme, the speed, efficiency and precision of three-dimensional ultrasonic imaging can be improved.

The invention discloses a bimodal real-time three-dimensional imaging method based on an LED light source, which is applied to a bimodal real-time three-dimensional imaging system based on the LED light source, and comprises the following steps: step 1, calibrating a calibration plate on an ultrasonic transducer, and obtaining a transformation matrix from a two-dimensional image coordinate system to a calibration plate coordinate system; step 2, moving an ultrasonic transducer to scan an imaging target, synchronously acquiring and reconstructing a two-dimensional ultrasonic image and a two-dimensional photoacoustic image, and tracking and recording pose information of the calibration plate in real time in an optical positioning mode, namely a transformation matrix from a calibration plate coordinate system to a camera coordinate system; step 3, based on the transformation matrix, mapping a two-dimensional ultrasonic imaging result and a two-dimensional photoacoustic imaging result obtained in real time to the same three-dimensional space through coordinate transformation; and 4, respectively adjusting the color and transparency parameters of the ultrasonic and opto-acoustic two modal images, fusing and rendering in real time, and displaying the bimodal three-dimensional image.

The invention provides a road detection vehicle pavement disease detection method and system based on multi-sensor fusion, and relates to the technical field of road engineering detection, and the method comprises the steps: 1, configuring at least one two-dimensional image collection unit and at least one three-dimensional image collection unit on a detection vehicle to obtain a configuration result; 2, according to the configuration result, in the driving process of the detection vehicle, a geometric reference area used for multi-source data space alignment is established based on lane marking lines in a to-be-detected road surface area; and step 3, performing structured division on the geometric reference area to obtain regularly distributed detection areas, and calculating spatial geometric feature changes generated by vehicle composite motion in the detection areas based on distribution features of the detection areas in combination with translational motion and rotary composite motion states existing in the driving process of the detection vehicle so as to obtain the spatial geometric feature changes of the detection areas. And obtaining a rigid body space composite kinematics characteristic resolving result of the detection area. According to the invention, efficient, accurate and full-dimensional detection of pavement diseases is realized.

The invention discloses a power distribution area load state monitoring method and system based on stereo portrait analysis, relates to the technical field of urban power grids, and effectively improves the positioning precision and response speed of a load fluctuation area by introducing a three-dimensional image reconstruction and dynamic partitioning mechanism; a graph neural network and space-time long-short-term memory network modeling method is combined, so that the trend perception capability of the load state evolution process is enhanced; further, multi-source fusion recognition of abnormal behaviors is realized through association matching of the image change track and the load feature sequence, and the monitoring accuracy and sensitivity are effectively improved; based on risk index assessment and a map visualization expression mode, an abnormal area positioning result is visual and transparent, and intelligent early warning and decision assistance are supported; the method has the advantages of high data fusion capability, high risk identification precision, high visual interactivity and the like, and the intelligent and practical level of load state monitoring of the power distribution area is remarkably improved.

The invention belongs to the technical field of image processing, and provides a rock FIB-SEM sequence image multi-phase registration segmentation method and system, and the technical scheme of the method comprises the steps: outputting a registered image, a displacement vector field and a Jacobian thereof through affine correction and non-rigid registration based on a constructed detail-retaining non-rigid registration sub-network; segmenting the registered image based on the constructed deformation sensing type multi-phase segmentation sub-network to obtain a probability graph of a plurality of channels; performing joint training on the sub-networks by taking registration precision and segmentation accuracy as targets and combining the constructed loss function to obtain each sub-network after parameter optimization; and processing the target sequence image based on each sub-network after parameter optimization to obtain three-dimensional image volume data and a multi-phase semantic segmentation three-dimensional tag aligned with the three-dimensional image volume data. According to the method, high-precision image registration and semantic segmentation can be synchronously completed on the premise that high-frequency details and noise features with geological significance in an original image are reserved.

A computer-implemented method for comparing medical images may include obtaining image data produced by multiple imaging devices indicative of anatomical features associated with an arthroplasty procedure, preprocessing the image data, including projecting three dimensional image data produced by a first imaging device of the multiple imaging devices to a plane represented by two dimensional image data produced by a second imaging device of the multiple imaging devices, identifying one or more landmarks associated with the anatomical features for comparison between images in the image data, comparing the identified one or more landmarks across the images to determine whether the images represent different individuals, and producing a notification indicative of a result of the determination of whether the images represent different individuals.

The invention discloses an intelligent detection system and method for the loading state of a railway wagon. The system comprises a frame, a 3D acquisition module, a vehicle number identification module, a speed measurement module, a control center and a data processing module. The frame is erected across two sides of the track; the 3D acquisition module comprises a laser scanning turntable; the laser scanning turntable is arranged on the frame and comprises a base disc, a laser scanning unit and a rotating shaft; the plurality of laser scanning units are mounted on the base disc, are uniformly distributed on the circumference taking the rotating shaft as the center, and are used for acquiring contour information of the surface of the railway wagon body; and the data processing module reconstructs vehicle body surface three-dimensional information according to the contour information, and identifies and obtains the loading state of the railway freight car. The base disc drives the laser scanning unit to rotate around the axis of the rotating shaft, the rotating direction is the same as the advancing direction of the railway wagon, and meanwhile the posture is adjusted in real time, so that the problems of motion blurring, data dislocation, three-dimensional point cloud data oscillation and the like existing when 3D image information of the railway wagon passing at a high speed is scanned and collected are solved.

This disclosure provides methods, devices, and systems for planning and performing medical procedures. The present implementations more specifically relate to analyzing objects in 3D images. In some aspects, a segmentation system may receive image data representing a 3D image of an anatomy, select a seed location for a target in the 3D image, and infer a segmentation mask associated with the seed location from at least a portion of the received image data based on a neural network model trained to segment a class of objects associated with the target. The system further extracts a polygon mesh from the segmentation mask to produce a 3D model of the target. The system can determine a spatial relationship between an instrument and the target based on a position of the 3D model relative to the 3D image. The system can also estimate a geometry of the target based on the 3D model.

The invention provides a medical image segmentation method and device for a bladder wall and a medium thereof.The medical image segmentation method comprises the steps that a three-dimensional image and an image segmentation model of the bladder wall of a patient are obtained, the three-dimensional image is input into multiple cascaded convolutional layers in the model, layer-by-layer feature extraction is conducted in a forward propagation mode, and multiple first feature maps are obtained; when the current direction is propagated to a convolutional layer provided with a position sensing gating module, performing spatial feature enhancement on a first feature map output by a previous convolutional layer; inputting the first feature map with the minimum spatial scale into a long-short term memory module in the model to perform context-dependent capture so as to obtain a second feature map, inputting the second feature map into a frequency domain routing enhancement module in the model to perform local feature enhancement so as to obtain a third feature map, and outputting the third feature map; and inputting the third feature map into a decoder and carrying out layer-by-layer spatial scale fusion on the third feature map and the plurality of first feature maps to obtain a segmented image, thereby improving global consistency, boundary accuracy and detail retention of bladder wall segmentation.

There is provided a device, etc. that generates construction assistance data that can be used for generating an image that allows a user to easily understand a position and posture of an underground buried object, and for controlling operation of a construction machine to avoid contact with the buried object. In at least part of a plurality of underground search areas Si1, Si2, . . . , Sim, Sim+1, underground search points P1, . . . . Pi−1, Pi, Pi+1, . . . . Pn−1, Pn of the underground buried objects each have a depth position from the ground surface, measured by an underground search machine 60, and the depth positions are consolidated into a representative depth position. Then, construction assistance image data is generated that represents a three-dimensional image including closed surfaces m1, m2 as objects each representing the representative depth position arranged at each of the plurality of underground search areas Si1, Si2, . . . , Sim, Sim+1.

The invention discloses a pseudo 3D display method and system based on eye movement tracking and affine transformation, particularly relates to the technical field of display and man-machine interaction, and comprises the steps of 3D model preprocessing, real-time eye movement tracking, view angle parameter calculation, dynamic projection generation, affine transformation correction, display image adjustment and dynamic pseudo 3D display effect realization. The pseudo 3D effect that the visual angle is dynamically adjusted along with the eye position of the user can be achieved through a common 2D screen, special 3D display equipment is not needed, pixel-level perspective correction is achieved, the depth perception of a pseudo 3D image observed by the user is closer to a real three-dimensional space, the visual immersion and interaction naturalness are effectively improved, and the user experience is improved. The core problems that traditional pseudo 3D depth perception is fuzzy and distortion is easily generated due to view angle deviation are solved, the user immersion and interaction naturalness are remarkably improved, and the method can be widely applied to scenes such as virtual social contact, vehicle-mounted HMI, telemedicine and education simulation.

The invention discloses a code nail stamping defect detection method and system based on machine vision, and belongs to the technical field of industrial automation quality control. The method comprises the following steps: acquiring multi-modal visual data such as a two-dimensional bright field image, a two-dimensional dark field image and three-dimensional contour data of a to-be-detected code nail; preprocessing the multi-modal visual data to obtain bright field, dark field and three-dimensional image data adaptive to a neural network model; inputting the three kinds of image data into a preset neural network model for defect identification processing, and outputting a defect segmentation mask and defect category information; and finally, performing quantitative analysis on the defects based on the output defect information, and judging whether the product is qualified or not according to an engineering specification threshold value. According to the method, multi-dimensional and complementary visual information is fused, and a specially designed neural network model is adopted for analysis, so that the problem of insufficient detection capability of tiny, low-contrast and three-dimensional geometric defects in the prior art can be effectively solved.

A computer implemented method for determining a 3D position of a surgical object relative to a region of interest in a patient's anatomy. The method includes receiving an X-ray image and a 3D data set. The X-ray image is a 2D projection image generated with an imaging direction and defining a 3D image coordinate system. The 2D projection image may depict a part of a patient's anatomy and a part of the surgical object. The received 3D data set describes the part of the patient's anatomy and a region of interest in a 3D data coordinate system. In order to determine a spatial relation between the 3D image coordinate system and the 3D data coordinate system, the part of the patient's anatomy is localized based on the X-ray image. Subsequently, the 3D position of the surgical object relative to the region of interest is determined in the 3D coordinate system.

The application relates to 3D display technology, and discloses a method for realizing 3D image display, which comprises the following steps: detecting the posture change of a 3D display device, wherein the 3D display device comprises a multi-view naked-eye 3D display screen, the multi-view naked-eye 3D display screen comprises a plurality of composite pixels and a plurality of spherical gratings covering the plurality of composite pixels, each composite pixel in the plurality of composite pixels comprises a plurality of composite sub-pixels, and each composite sub-pixel in the plurality of composite sub-pixels comprises a plurality of sub-pixels corresponding to a plurality of views; and when the posture change of the 3D display device is detected, the display orientation of the displayed 3D image is adjusted so that the 3D image remains at the initial display orientation before the posture change of the 3D display device. The disclosure solves the problem that the electronic device cannot display a suitable picture after adjusting the posture. The application also discloses a 3D display device.

The present disclosure provides a method, system, device, and storage medium for generating and producing a 3D lenticular image. The method comprises determining depth information of a 2D target image of a target object; generating a multi-viewpoint image corresponding to the 2D target image by utilizing a 2D-3D image transformation algorithm and a dynamic viewpoint interpolation technique based on the depth information, the multi-viewpoint image including a plurality of image frames corresponding to different shooting angles; and generating a 3D lenticular image of the target object based on the multi-viewpoint image.

The invention relates to the technical field of three-dimensional visualization, in particular to a geological exploration three-dimensional visualization analysis system which comprises a spatial discretization construction module, an interface geometric feature extraction module, an attenuation factor calculation module, an internal stress field inversion module and a voxel lighting effect mapping module. According to the method, by constructing a voxelization space system and combining projection coordinates of a top plate and a bottom plate of the stratum, the geometric bending degree and local thickness variation characteristics of the stratum interface are accurately quantified, and a mapping relation between a spatial form and an internal stress field is established by utilizing geometric conduction factors; the method can invert tectonic stress distribution from stratum extrusion deformation and thickness reduction trends, effectively identify a hidden stress concentration area in a geologic body, dynamically adjust optical attributes of regular hexahedron units according to stress intensity, convert abstract mechanical characteristics into visual three-dimensional images, realize spanning from pure geometric display to internal physical mechanism analysis, and improve the analysis accuracy of the geologic body. And the identification precision and the early warning capability of the geological disaster source are obviously improved.