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280 results about "Computational Technique" patented technology

Computational imaging. Computational imaging is a set of imaging techniques that combine data acquisition and data processing to create the image of an object through indirect means to yield enhanced resolution, additional information such as optical phase or 3D reconstruction.

Smartphone-Based Methods and Systems

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.
Owner:DIGIMARC CORP

Smartphone-Based Methods and Systems

Technologies involving portable devices, such as smartphones and tablet computers, are disclosed. One arrangement enables a creator of content to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another uses the camera of a smartphone to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.
Owner:DIGIMARC CORP

Virtual heart valve

A computational technique to construct a 3-D valve leaflet geometry. The invention pertains to methodology to construct a 3-D heart valve leaflet geometry using finite element analysis (FEA) to simulate the manual assembly process or, in other words, provide a virtual assembly process as an input to a subsequent simulated valve testing step. The simulated valves may be subjected to simulated cyclic valve opening and closings and the stress levels induced therein monitored. Simulated valve designs with lower principal stresses can then be selected for prototyping. Proposed valves can be subjected to cyclic fatigue stress testing under simulated physiologic conditions to study valve durability.
Owner:EDWARDS LIFESCIENCES CORP

Geometric design and modeling system using control geometry

A method and system for computer aided design (CAD) is disclosed for designing geometric objects. The present invention interpolates and / or blends between such geometric objects sufficiently fast so that real time deformation of such objects occurs while deformation data is being input. Thus, a user designing with the present invention obtains immediate feedback to input modifications without separately entering a command for performing such deformations. The present invention utilizes novel computational techniques for blending between geometric objects, wherein weighted sums of points on the geometric objects are used in deriving a new blended geometric object. The present invention is particularly useful for designing the shape of surfaces. Thus, the present invention is applicable to various design domains such as the design of, e.g., bottles, vehicles, and watercraft. Additionally, the present invention provides for efficient animation via repeatedly modifying surfaces of an animated object such as a representation of a face.
Owner:CAD-SENSE LLC

Smartphone-based methods and systems

Methods and arrangements involving portable devices, such as smartphones and tablet computers, are disclosed. One arrangement enables a creator of content to select software with for rendering that creator's content - assuring continuity between artistic intention and delivery. Another arrangement utilizes the smartphone camera to identify nearby subjects, and take actions based thereon. Othe rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some of the detailed technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use linked data in portable devices - some of which exploit GPU capabilities. Still other technologies concern computational photography.
Owner:DIGIMARC CORP

Radiotherapeutic apparatus

The present invention seeks to provide a radiotherapeutic apparatus that mitigates the various problems found in the techniques such as tomotherapy, IMAT, IMRT and the like. It provides a radiotherapeutic apparatus comprising a source of radiation whose output is collimated by a multi-leaf collimator, and a patient support, the source being rotatable around the support and the support being translatable along the axis of rotation, thereby to move the source helically relative to a patient on the support. The leaves of the MLC are preferably oriented orthogonal to the axis of rotation, to simplify computation of the dose distribution. The apparatus thus moves the patient on the patient support system along the axis of rotation, in the longitudinal direction. Thus, the device has an effectively unlimited treatable volume in the longitudinal direction and avoids the limitations of IMAT and IMRT techniques whilst enabling the use of thin MLC leaves to give a high longitudinal resolution. The apparatus is preferably combined with an optimization system providing a computational service similar to that provided for IMAT and IMRT devices. Essentially the same computational techniques could be used, with appropriate changes to the input conditions and characteristic equations. The long aperture length (compared to tomotherapy) makes the radiation delivery efficient and therefore the delivery of high doses a practicality; hypofractionation and radiosurgery therefore become possible over large treatable volumes.
Owner:ELEKTA AB

Multi-screen parallel massive information display system

InactiveCN102541501AStrong information processing abilityBreakthrough signal processing speed constraintsConcurrent instruction executionDigital output to display deviceVideo memoryData pack
The invention provides a multi-screen parallel massive information display system. An integral splicing wall is divided by the system with four screens as a unit, each four screens are controlled by an accessory node controller, and the accessory node controllers are connected with a master node controller through a high-speed internet. Under unified allocation and organization of the master node controller, external massive data (including analog video signals, digital signals of a computer and the like) are transmitted to the high-speed internet after quantization and digital processing and finally transmitted to the accessory node controllers, and images are parallelly rendered to a video memory by the accessory node controllers and displayed on a high-definition splicing display screen. The system comprehensively applies the CPU (central processing unit)+CPU parallel processing technology, the cloud computing technology and the high-speed network technology, so that the massive data which cannot be processed and displayed by a traditional system are quickly displayed in real time.
Owner:GUANGZHOU HANYANG INFORMATION TECH

Secure Informatics Infrastructure for Genomic-Enabled Medicine, Social, and Other Applications

A system is disclosed in which human genomes are stored in databases or in a cloud based computer system, which is secure and private and then downloaded to personal devices for possible peer-to-peer interactions for health care applications, as well as for social and other applications. The use of the system is directed to fully sequenced genomes and includes protocols that are constructed to mimic in vitro biological tests to conduct genomic analysis instead of generic computational techniques, which tend to be impractical as they require performance of online computation over the entire genome. Three specific examples of protocols or techniques for privacy-preserving testing on fully sequenced genomes included are: 1) privacy-preserving genetic paternity testing, 2) privacy-preserving personalized medicine testing, and 3) privacy-preserving genetic compatibility testing.
Owner:RGT UNIV OF CALIFORNIA

Image data expansion method for deep learning model training and learning

The invention relates to an image data expansion method for deep learning model training and learning, and belongs to the technical field of computer medical image calculation. The method comprises the following steps: firstly, judging a data type, and identifying CT or MRI image data; For the image data, judging whether an ROI (Region Of Interest) is defined or not, and selecting a correspondingmethod to complete the construction of an image data set in combination with the size of a tumor region; Training the image data set by adopting a basic image transformation method to obtain a preliminary training data set; And finally, carrying out data expansion on the preliminary training data set, carrying out deep training by adopting a network model, and finally, carrying out probability prediction. Based on artificial intelligence deep learning, a series of data expansion methods are applied to learning of deep model training in the field of medical image processing, the influence of medical image data heterogeneity on abnormal data is solved, computer-aided diagnosis is facilitated, and the diagnosis efficiency and accuracy are improved.
Owner:NANJING UNIV OF INFORMATION SCI & TECH

Upgrading method and device of Kubernetes cluster, electronic equipment and medium

ActiveCN111258609AImplement in-place upgradesThe additional attribute information is the sameSoftware simulation/interpretation/emulationSoftware deploymentInterface (computing)Mirror image
The invention discloses an upgrading method and device of a Kubernetes cluster, electronic equipment and a medium and relates to the technical field of computers, in particular to the technical fieldof cloud computing. According to the specific implementation scheme, the method comprises the steps of obtaining a deletion request and new copy set information of an old application instance from acontrol manager through an interface server; wherein the deletion request and the new copy set information are determined when detecting that a container mirror image field of any deployment group isupdated, determining whether a target deployment group to which the old application instance belongs needs to be upgraded in situ; if in-situ upgrading is needed, upgrading the old application instance into a new application instance in a new replica set according to the new replica set information so as to upgrade the target deployment group; refusing the delete request. By the adoption of the scheme, in-situ upgrading of the old application instance Pod can be achieved, it is guaranteed that the additional attribute information of the new Pod and the old Pod is the same, and subsequent access abnormity is avoided.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Quick reconstruction method of double-camera spectral imaging system based on GPU

The invention discloses a quick reconstruction method of a double-camera spectral imaging system based on a GPU, and relates to a method which can quickly acquire a high-resolution hyperspectral image, wherein the method relates to the field of computational photography. The method is applied on a double-camera spectral imaging system based on coded aperture snapshot spectral imaging and a gray-scale camera. A hyperspectral image reconstruction problem is converted to a plurality of sub optimization problems, and furthermore a GPU is utilized for finishing solving of each sub problem. A cuBLAS database and a conjugate gradient reduction method are utilized for updating the hyperspectral image. A soft-threshold function is utilized for updating an auxiliary variable. Iteration is performed for finishing reconstruction of the hyperspectral image. The method of the invention can realize high-quality hyperspectral image reconstruction of the double-camera spectral imaging system and furthermore has advantages of ensuring high spatial resolution and high spectral fidelity of a reconstruction result, greatly improving reconstruction efficiency of the hyperspectral image, and expanding application range of the hyperspectral image. The quick reconstruction method can be used in a plurality of fields of manned space flight, geological exploration, vegetation studying, etc.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Imaging medical information sharing system based on embedded type operation system and cloud platform

ActiveCN104463748AAchieve sharingRealize classification and archive managementData processing applicationsMedical imagesComputer printingSoftware engineering
The invention discloses an imaging medical information sharing system based on an embedded type operation system and a cloud platform. The imaging medical information sharing system is characterized by comprising a medical imaging examination device, an information collection device, a printer and the cloud platform; the medical imaging examination device transmits medical imaging examination information to the printer through the information collection device; the information collection device is used for collecting medical imaging examination information from a port of the printer and uploads the information to the cloud platform; the information collection device comprises a registering module, a management module, a checklist obtaining module, a checklist applying module, an information downloading module, an authorization configuration module and a cloud platform association storage module. The system reads data of a general printing port and carries out transmission, storage, analysis and management through the cloud computing technology, and classified filing management, multifunctional retrieval analysis and large-range barrier-free data sharing of mass medical information can be achieved.
Owner:GUANGZHOU HEALGOO INTERACTIVE MEDICAL TECH CO LTD

Image high dynamic range reconstruction method based on deep learning

The invention discloses an image high dynamic range reconstruction method based on deep learning, and belongs to the field of computational photography and digital image processing. A mapping networkfrom a single LDR image to an HDR image is established by adopting a method based on deep learning. The method comprises the steps of generating LDR training data, HDR sample tags with aligned brightness units and mask images of high-brightness areas sequentially from a collected HDR data set; and then constructing and training a neural network to obtain a network model with an LDR-to-HDR mappingrelationship; and finally, directly inputting the LDR image into the network model by using the trained generative network model, thereby outputting the reconstructed HDR image. According to the method, the dynamic range of a real scene can be effectively reconstructed from a single common digital image, and the method can be used for HDR simulation effect display of the common digital image or providing a more realistic rendering effect for an image-based lighting technology.
Owner:WUHAN UNIV

A high-quality reconstruction method of a spectral imaging system based on a convolutional neural network

The invention discloses a high-quality reconstruction method of a spectral imaging system based on a convolutional neural network, and belongs to the field of computational photography. The method isapplied to a snapshot spectral imaging system based on a coded aperture, spatial correlation and spectral correlation between images are considered in the reconstruction process of a hyperspectral image, residual error learning is used for accelerating the training speed and the convergence rate of a network, and a GPU is used for completing optimization solving of the whole network. Network parameters are updated by using a random gradient descent method; and block-by-block processing is performed to complete reconstruction of the hyperspectral image. According to the method, hyperspectral image reconstruction of the CASSI spectral imaging system can be completed in a high-quality mode, it is guaranteed that a reconstruction result has high spatial resolution and high spectral fidelity, meanwhile, the efficiency of hyperspectral image reconstruction is greatly improved, and the application range of hyperspectral images is expanded. The method can be applied to the fields of geologicalexploration, agricultural production, biomedicine and the like.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Quantum processor based systems and methods that minimize a continuous variable objective function

Computational techniques for mapping a continuous variable objective function into a discrete variable objective function problem that facilitate determining a solution of the problem via a quantum processor are described. The modified objective function is solved by minimizing the cost of the mapping via an iterative search algorithm.
Owner:D WAVE SYSTEMS INC

Power transformation equipment typical visual defect detection system and method based on edge cloud cooperation

The invention discloses a power transformation equipment typical visual defect detection system and method based on edge cloud cooperation, and relates to the technical field of edge computing and cloud computing. The system comprises an inspection robot, a power transformation equipment image acquisition device, an edge computing platform, a cloud server platform, a communication device, an imagedata preprocessing module, a power transformation equipment typical visual defect detection module and a typical visual defect image data management module. The method comprises the steps of S1, acquiring power transformation equipment image data by the power transformation equipment image acquisition device and sending the power transformation equipment image data to an edge computing platform;through the inspection robot, the power transformation equipment image acquisition device, the edge computing platform, the cloud server platform, the communication device, the image data preprocessing module, the power transformation equipment typical visual defect detection module, the typical visual defect image data management module and the like, high power transformation equipment typical visual defect detection working efficiency is realized.
Owner:STATE GRID CORP OF CHINA +2

Reconstruction method of snapshot spectral imaging system based on tensor low-rank constraint

The invention discloses a reconstruction method of a snapshot spectral imaging system based on tensor low-rank constraint, and belongs to the field of computational photography. The method is appliedto two snapshot spectral imaging systems, namely, a coded aperture snapshot spectral imaging system and a dual-camera spectral system based on a panchromatic camera. The reconstruction method comprises the steps of firstly, constructing a three-dimensional tensor by using the non-local similarity of a hyperspectral image, then mining structural characteristics of the three-dimensional tensor by using a dimension-discriminative low-rank tensor regularization (DLTR) model, wherein the structural characteristics include the spatial self-similarity, the spectral correlation and the space-spectrumjoint correlation; and finally, alternately updating and iteratively solving so as to complete the high-precision hyperspectral image reconstruction. According to the invention, the high-dimensional physical characteristics of the hyperspectral image can be better transmitted, the internal structural characteristics of the hyperspectral image can be better mined, the reconstruction quality of thesnapshot spectral imaging system is greatly improved, and the method has the advantage of high reconstruction precision.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Color interpolation processor and the color interpolation calculation method thereof

A color interpolation processor and the color interpolation calculation method thereof are disclosed. More particularly, they relates to a color interpolation processor and the color interpolation calculation method thereof that are implemented in a real-time image process system using charge couple devices (CCD) for sampling. The color interpolation calculation method of the present invention is to perform a computation of color interpolation by utilizing the edge directions weighting and local gain approach according to the luminance density determined by the green (G) component. Therefore, the quality of interpolation is improved. Meanwhile, because the computation technique of the present invention is not complicated, the cost is lower when the color interpolation calculation method of the present invention is implemented in image signal process system. Thus, the production cost is decreased tremendously.
Owner:AVER INFORMATION INC

A high-quality imaging method of a spectral imaging system based on a convolutional neural network

The invention discloses a high-quality imaging method of a spectral imaging system based on a convolutional neural network, and belongs to the field of computational photography. According to the invention, the hyperspectral image imaging process and the reconstruction process are considered together; in the reconstruction process, the spatial correlation and the spectral correlation between images are respectively considered, the residual error learning is used to accelerate the training speed and convergence speed of the network, the coding network is optimized while the network is reconstructed, and a GPU is used to complete the optimization solution of the whole network. A cuDNN library is used to accelerate the operation speed of the network. The method comprises updating network parameters by using a random gradient descent method; and performing block-by-block processing to complete reconstruction of the hyperspectral image. According to the method, the hyperspectral image reconstruction of the CASI spectral imaging system can be completed with high quality, the high spatial resolution and high spectral fidelity of a reconstruction result are ensured, meanwhile, the efficiency of hyperspectral image reconstruction is improved, and the application range of hyperspectral images is expanded. The method can be used in the fields of manned spaceflight, geological survey, agricultural production, biomedicine and the like.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

BIM-based concrete dam monitoring data intelligent management and real-time evaluation system

The invention discloses a BIM-based concrete dam monitoring data intelligent management and real-time evaluation system, which comprises a database module, a building information module, a real-time evaluation module and a Web display platform, wherein the database module is used for collecting monitoring data and carrying out preliminary processing; the building information module is used for storing parameterized models of dam body terrain, important components and monitoring instruments, and is associated with the database; the real-time evaluation module is combined with a dam safety monitoring theory, an artificial intelligence technology and a high-performance computing technology, so that dam automatic monitoring data can be analyzed in real time; and the Web display platform has anengineering model quick display function, a monitoring information browsing function and an evaluation result output function. The BIM-based concrete dam monitoring data intelligent management and real-time evaluation system can assist a worker to efficiently complete the analysis and evaluation work of monitoring data, improves the informatization management level of a dam, and has important social and economic benefits.
Owner:HOHAI UNIV
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