268 results about "Image estimation" patented technology

To provide an image processing apparatus that can more correctly determine a row of teeth having permanent teeth and milk teeth mixed therein.SOLUTION: An image processing apparatus comprises: an acquisition unit that acquires an image of the inside of the oral cavity; an estimation unit that estimates a row of teeth from an image acquired by the acquisition unit by using a learning model that has learned the relationship between the image of the inside of the oral cavity and the row of teeth; and a correction unit that makes a correction on a result of the estimated row of teeth on the basis of a rule related to the order of losing the milk teeth and getting the permanent teeth.SELECTED DRAWING: Figure 4

The invention discloses an image compressed sensing reconstruction method and system based on a recursive diffusion model, and belongs to the technical field of image processing and compressed sensing, and the method comprises the steps: obtaining a to-be-reconstructed original image; performing block compressed sensing sampling on an original image to be reconstructed to obtain a complete observation value; initializing the complete observation value by adopting a pseudo-inverse reprojection operation to obtain an initial reconstructed image; performing complete reconstruction on the initial reconstruction image by using a recursive diffusion model; wherein in the whole image domain, the initial reconstruction image is used as the image estimation of the current iteration, through a lightweight recursion UNet submodule and an operator condition circulation prior submodule in the recursion diffusion model, multi-step iteration reconstruction is carried out, and a final reconstruction image is output. According to the method, a recursive refinement mechanism and stride memory prior are introduced, high-quality image reconstruction is realized under a small number of iteration steps, and the calculation and storage overhead is remarkably reduced.

The invention discloses a shield deslagging volume dynamic detection method and a detection system thereof, and relates to the technical field of shield deslagging volume metering, the method comprises the following steps: arranging sound wave and vibration sensors, collecting sound vibration signals in a deslagging process, and calculating to obtain a first volume estimation value; collecting propelling attitude and conveyor rotating speed information, calculating an attitude correction coefficient and correcting the first estimated value to obtain a second estimated value; based on the dynamic image sequence at the deslagging window, extracting section and trajectory features to form a third volume estimation value; detecting the water content of the muck through a microwave sensor, calculating a water content correction coefficient, and compensating and correcting an image estimation result to obtain a fourth volume estimation value; and finally, carrying out weighted fusion on the second and fourth estimated values to obtain the final deslagging volume. According to the method, multi-source information of sound vibration, vision and water content is fused, the precision and robustness of slag discharge volume estimation are effectively improved, the method adapts to complex working condition changes, and the safety and efficiency of shield construction are guaranteed.

To provide an information processor, an information processing method and an information processing program for grasping the degree of understanding of a student during a lesson in real time, and for facilitating the selection of teaching material contents suitable for the lesson and the review of the lesson.SOLUTION: The information processing apparatus 10 is an information processing apparatus that supports a class by a teacher user using a teacher user terminal, and includes a captured data acquisition unit 12 that acquires a camera image from each of student user terminals of student users who take the class, an understanding level determination unit 13 that estimates an understanding level of the student user for the class on the basis of the camera image, and a display control unit 14 that aggregates the estimated understanding levels of the student users and displays transition of the understanding levels in the class on the teacher user terminal.SELECTED DRAWING: Figure 1

An in-vehicle display system includes: an angle estimation unit that estimates, based on an image captured by a camera, an angle provided by a straight line connecting an own vehicle and a preceding vehicle with respect to a front-rear direction of the own vehicle; an inter-vehicle distance estimation unit that estimates an inter-vehicle distance between the own vehicle and the preceding vehicle based on a detection result obtained by a radar sensor of the own vehicle; a height calculation unit that calculates a height of the preceding vehicle based on the angle and the inter-vehicle distance; a gradient estimation unit that estimates a gradient of a road ahead of the own vehicle based on a temporal change of the height of the preceding vehicle; and a display control unit that displays an icon on a windshield so that the icon is superimposed on a landscape ahead of the own vehicle.

The invention relates to the technical field of nuclear medicine diagnosis, and particularly provides an ROI image reconstruction method and system based on SPECT data, and the method comprises the steps: reconstructing a coarse scanning image according to large-view coarse scanning projection data; generating ROI image estimation according to the coarse scanning image; performing loop iteration updating on the ROI image estimation until a preset convergence condition is met; the loop iteration updating process comprises the following steps: generating estimated projection data according to ROI image estimation of current iteration; obtaining projection deviation according to the estimated projection data and the small-view fine scanning projection data; obtaining an image state index according to ROI image estimation of the current iteration and the previous iteration; determining a coarse scanning data contribution weight according to the image state index; updating the ROI image estimation of the current iteration according to the projection deviation, the small-view fine scanning projection data, the coarse scanning data contribution weight and the large-view coarse scanning projection data; according to the method, the iterative reconstruction process can adapt to the dynamic change of the image state.

A computer-implemented method for determining an estimation of a two-dimensional scattered radiation distribution in a two-dimensional X-ray image that is based on an imaging procedure performed by an X-ray detector is provided. The method includes receiving the X-ray image, applying an estimation algorithm to the X-ray image or to a two-dimensional intermediate image determined from the X-ray image. The estimation algorithm determines a respective two-dimensional partial scattered radiation image for a plurality of physical scatter processes such that image values of pixels of the respective partial scattered radiation image in each case describe an estimated value for a respective scattered radiation dose that was applied to a respective detector region of the X-ray detector assigned to the respective pixel during acquisition of the X-ray image by the respective physical scatter process. The estimation of the scattered radiation distribution is determined based on the plurality of partial scattered radiation images.

There is provided an information processing apparatus, an information processing method, and a program that allow for reduction in power consumption in authentication using multiple cameras. The information processing device performs camera search processing of searching for a camera suitable for authentication of a target among non-activated cameras yet to be activated, on the basis of a position and an angle of the target estimated from an image captured by an active camera which is an activated camera among multiple cameras, and activating the camera found by the search. The present technology can be applied to facial recognition systems.

This invention discloses a quantum entangled light spatial correlation imaging method based on iterative deconvolution, belonging to the field of quantum information. The method includes the following steps: illuminating the target sample with a position-momentum entangled light source, and acquiring multiple frames of entangled light carrying sample information using a single-photon camera; performing statistical operations on the acquired multi-frame images to remove irrelevant background noise and obtain a joint probability distribution image of the sample; extracting the correlation width using the spatial distribution image of the joint probability distribution through differential coordinate projection to construct the point spread function of the optical system; using the point spread function for forward convolution projection and backward error projection, updating the image estimate through iterative calculation until the convergence condition is met to obtain the target sample image. This invention utilizes a camera to image with a position-momentum entangled light source under low illumination conditions, which can obtain high-contrast target imaging and has potential advantages in imaging light-sensitive samples.

Provided is an information processing device comprising: an acquiring unit that acquires an image of the ground around a moving body and information indicating the behavior of the moving body when the moving body moves; an estimating unit that estimates the type of the ground on the basis of the image; and a predicting unit that predicts the behavior of the moving body when the moving body moves on the ground of the type estimated by the estimating unit on the basis of a regression model for the type of the ground, and updates the regression model for the type of the ground on the basis of the predicted behavior of the moving body and the behavior of the moving body acquired by the acquiring unit. This allows the behavior of the moving body to be estimated more appropriately.

This invention discloses a low-light image quality enhancement system and method based on enhanced night scene modeling. The system includes: a sample data construction module, which generates enhanced low-light scene images based on an initial image dataset using a dual-channel hybrid generative network architecture and constructs an optimized training sample library; and a hybrid enhancement model, constructed based on an attention module and a probabilistic graphical model module. During the training phase, the hybrid enhancement model uses the optimized training sample library as input and employs a region-adaptive weighted loss function for parameter optimization. During the application phase, the optimized model receives the low-light image to be processed, estimates the illumination and noise distribution of the low-light image, and generates the enhanced image. This invention significantly improves the coverage of night scene training data and achieves adaptive enhancement of image features under low-light conditions, significantly improving the noise suppression effect in dark areas and the ability to restore image details.

Method for determining a grasping hand model suitable for grasping an object by receiving an image including at least one object; obtaining an object model estimating a pose and shape of the object from the image of the object; selecting a grasp class from a set of grasp classes by means of a neural network, with a cross entropy loss, thus, obtaining a set of parameters defining a coarse grasping hand model; refining the coarse grasping hand model, by minimizing loss functions referring to the parameters of the hand model for obtaining an operable grasping hand model while minimizing the distance between the finger of the hand model and the surface of the object and preventing interpenetration; and obtaining a mesh of the hand represented by the enhanced set of parameters.

To provide a posture evaluation device and the like which evaluates the posture more properly.SOLUTION: A posture evaluation device 200 includes: a camera (imaging device 201) for imaging an object person 11 and outputting an image; a body position estimation part 105a for estimating the information regarding the position of a body portion of the object person 11 from the image; a posture feature amount calculation part 105b for calculating the posture feature amount of the object person 11 from the information regarding the estimated position of the body portion; a feature amount conversion part 105c for, by converting the calculated posture feature amount, outputting the feature amount which is the feature amount for a predetermined evaluation reference used for the evaluation of the posture of the object person 11 and which is related to the position of the body portion that cannot be estimated by the body position estimation part 105a; and a posture evaluation part (evaluation part 108) for evaluating the posture of the object person by the predetermined evaluation reference by using the feature amount after conversion.SELECTED DRAWING: Figure 2

A method for detecting the position of a hand belonging to a vehicle occupant comprises at least one iteration including the following steps: - acquisition of an image (IMG) including the occupant by means of an image sensor (5); - estimation, by processing the acquired image (IMG), of the respective three-dimensional coordinates (Xi, Yi, Zi) of a plurality of points on a part of the occupant's body including said hand; - determination, based on the respective three-dimensional coordinates (Xi, Yi, Zi) of the plurality of points on said body part, of a plurality of probabilities of presence (Pj) of the hand relative respectively to a plurality of predetermined areas of the vehicle's interior. A detection device and an associated system are also described. Figure for the abstract: Figure 1

To provide cable wire insertion depth monitoring.SOLUTION: A method (200) for cable wire insertion monitoring includes receiving, from a camera system (312), an inspection image (314) of a connector housing (302) held in a housing retainer (306) of a housing inspection system (300). Insertion of a cable wire (324) into a corresponding cable cavity (304) of the connector housing (302) is detected via an insertion monitoring machine vision system (402). Based at least in part on the inspection image (314), an insertion depth of the cable wire (324) into the corresponding cable cavity (304) is estimated. An indication (416) of the insertion depth of the cable wire (324) is output.SELECTED DRAWING: Figure 3B

The invention discloses a phase difference wavefront-image estimation method based on depth image prior. The method comprises the following steps: firstly, constructing a forward physical model of an incoherent imaging system, and generating an observation image with out-of-focus aberration by introducing phase difference; and then using a depth image prior network to jointly optimize image domain loss and wavefront domain loss under the condition of no external training data by taking the consistency of an observation image and a model generation image as a constraint so as to simultaneously obtain a high-quality recovered image and accurate wavefront estimation. The method provided by the invention can realize accurate wavefront estimation and high-quality image recovery under the condition of large aberration under the condition of only needing a small number of acquired images, and has the advantages of strong anti-noise capability, no need of an additional wavefront sensor and low system complexity. The method can be widely applied to fluorescence microscopic imaging and other high-resolution microscopic imaging technologies, and the imaging resolution and the image quality are improved.

The optical information reading method can appropriately adjust imaging conditions when analyzing captured images and reading the optical information contained in the images, without considering the environment in which the information to be read is placed. In the case of illuminating a aiming light that serves as a reference for pointing the imaging unit at the optical information to be read, and simultaneously periodically capturing images and analyzing the images to read the optical information contained in the images, the amount of movement of the imaging unit within a certain time range is estimated based on the images captured within that time range, and the imaging conditions are adjusted based on the pixel values ​​of the pixels in the captured images through imaging adjustment processing (212). When it is determined that the target has been determined based on the estimated amount of movement ("Yes" in S101), the imaging conditions are adjusted based on the pixel values ​​of pixels within a predetermined range near the position of the aiming light in the captured images (S102~S106, S113).

A method for characterizing a mobile particle in a sample (10), the method comprising: acquiring at least one image () of the sample during an acquisition period, using an image sensor (20) and forming a series of images, the series of images comprising at least one image; using each image of the series of images resulting from a) as an input image () of a convolutional neural network for detection (CNNd), the convolutional neural network for detection being configured to detect the particles and to produce, from each image, an output image () on which each detected particle is assigned an intensity distribution, centered on the particle and extending around the particle; for each detected particle, from each output image () resulting from b), estimating a position of each detected particle in each image of the series of images;characterization of each detected particle from the estimate of the position resulting from c), established from each image of the series of images.;

[Problem] To make it possible to increase accuracy of three-dimensional reconstruction. [Solution] An information processing system comprising a control unit that: estimates, for each captured image of a first captured image group of an object captured by a first imaging device and a second captured image group of the object captured by a second imaging device, the position and orientation of imaging on the basis of a common reference; generates, on the basis of a ranging data group of the object measured by a ranging device attached to the second imaging device, an integrated point cloud obtained by integrating each piece of ranging data so as to be consistent with the positions and orientations estimated from each captured images of the second captured image group; and performs three-dimensional reconstruction of the object on the basis of the integrated point cloud and the first captured image group.

A robot system includes circuitry configured to: acquire a workpiece image showing a workpiece present in real space; estimate skeleton information indicating a skeleton of the workpiece based on the workpiece image; acquire constraint information representing a constraint regarding a task to be performed on the workpiece; determine a completion state of the task based on the acquired constraint information and the estimated skeleton information; and cause a robot placed in the real space to perform the task in accordance with the determined completion state.

A road surface detection system and a vehicle control unit are provided, capable of implementing suitable driving operation according to the waviness of a road surface in a vehicle's direction of travel. For this purpose, the road surface detection system 300, which detects a property of a road surface on which the vehicle 100 is traveling, includes the imaging unit 301, which captures an image of the road surface; the waviness estimation unit 303, which estimates the waviness of the road surface from the image; the front-to-back waviness cycle estimation unit 304, which estimates a waviness cycle in the front-to-back direction of the vehicle 100 from the image; and the road surface shape determination unit 306, which determines a shape of the road surface based on the waviness and the front-to-back waviness cycle.

Provided is a method of transforming a landmark including: receiving an input image including a facial image of a first person and a landmark corresponding to the facial image; estimating a transformation matrix corresponding to the landmark; and calculating an expression landmark and an identity landmark corresponding to the input image by using the transformation matrix.

The present application relates to a kind of asteroid global terrain three-dimensional reconstruction method for illumination change, comprising the following steps: input asteroid optical image, estimate camera pose and generate sparse point cloud, initialize Gaussian radiation field;Using image segmentation large model outputs the segmentation mask of asteroid optical image, prunes Gaussian radiation field;In combination with the mixed mask output by Gaussian radiation field, identify the shadow area of asteroid surface;The camera position, spherical harmonic coefficient and hash coding are combined into incident light angle, input into neural network, and the color value of Gaussian cell of illumination and shadow area is regressed;Add depth normal consistency loss and rotation variance and scale constraint loss, combine photometric loss to jointly supervise the optimization of Gaussian radiation field, calculate Gaussian opacity field, extract the three-dimensional model of asteroid global terrain.The present application can identify the shadow area on asteroid, improve the three-dimensional reconstruction precision of asteroid with surface illumination change.

There is provided a mobile body that includes an imaging unit to capture an image of an environment around the mobile body, an estimation unit to estimate a position of the mobile body on the basis of the image captured by the imaging unit, a calculation unit to calculate the position of the mobile body on the basis of a control command for controlling movement of the mobile body, and a wind information calculation unit to calculate information regarding wind acting on the mobile body on the basis of a first position that is the position of the mobile body, which is estimated by the estimation unit, and a second position that is the position of the mobile body, which is calculated by the calculation unit.

To assist an operator in performing operations when looking for a medical instrument on an ultrasonic image.SOLUTION: An ultrasonic diagnostic device according to an embodiment comprises a first generation unit, a second generation unit and an estimation unit. The first generation unit executes a first scanning with an ultrasonic probe on an analyte and thereby generates a first ultrasonic image of the analyte. The second generation unit executes a second scanning encompassing the first scanning and thereby generates a second ultrasonic image containing a medical instrument. The estimation unit estimates first positional information for the ultrasonic probe capable of generating the first ultrasonic image containing a medical instrument, based on the second ultrasonic image.SELECTED DRAWING: Figure 1

Even when repeatedly placing and removing the same type of product from a weighing pan, the goal is to avoid a deterioration in work efficiency. [Solution] The product processing device 1 according to one embodiment includes a camera 11 that captures images of products 100 placed on a product placement unit 10 and generates captured images, a display unit 12 that displays various information, a control unit 13 that estimates product candidates C based on the captured images and displays the product candidates C on the display unit 12, and a label printer 14 that prints product information related to product 100 on a label. The control unit 13, based on the product candidates C displayed on the display unit 12, causes the label printer 14 to print product information related to the identified product when a product is identified by the operator's operation, and after a product has been identified, if it is determined that a product candidate C estimated based on a captured image of another product is the same as the first product, it uses the product information related to the first product to print product information related to the other product on the label printer 14.

This simulation model generating method includes: acquiring layout information relating to a work site from a management system; estimating the position of a worker at the work site on the basis of a first captured image captured by a first camera that captures images of the work site; calculating at least one of a movement speed of the worker and a work time of the worker in an area of the work site corresponding to the position, on the basis of the estimation result; and generating a simulation model of the work site on the basis of the layout information and the at least one of the movement speed and the work time of the worker in each of one or more areas of the work site.

An information processing device and an information processing method capable of appropriately handling a shielding region of a road are provided.The information processing device includes a first information conversion unit 15 that estimates a first road region from an image obtained by imaging the road, a second information conversion unit 17 that estimates a second road region from map information stored in a map information storage unit 11, and a difference extraction unit 16 that extracts difference information representing a difference between the first road region and the second road region. Further, in the information processing method, a computer estimates the first road region from the image obtained by imaging the road, estimates the second road region from the map information, and extracts the difference information indicating the difference between the first road region and the second road region.

The invention relates to the technical field of image processing, in particular to a retinopathy recognition method, system and device based on artificial intelligence and a medium, and the method comprises the steps: taking the eye of a detected pregnant woman as a target object, setting a preset position, scanning in the depth direction, obtaining point fault information, carrying out three-dimensional reconstruction, and generating a second image. Generating a third image, performing correction processing, presetting a straight line in the corrected image, obtaining pixel values corresponding to the positions where the first pixel and the second pixel are located, and obtaining the thickness data of each layer; taking the thickness data as a pixel value; setting the value of each layer of pixel to be equal to the thickness data of the layer; generating a fourth image; and establishing an image database, adding a disease marker to the reference image, training the image estimation model by using the reference image added with the disease marker, and outputting a disease corresponding to the fourth image. The method improves the prediction efficiency and accuracy of the eye fundus image.