Patents Assigned to SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
  • Patent number: 9684817
    Abstract: Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires rep
    Type: Grant
    Filed: November 26, 2013
    Date of Patent: June 20, 2017
    Assignee: Shenzhen Institutes Of Advanced Technology Chinese Academy Of Sciences
    Inventor: Hui Huang
  • Patent number: 9606204
    Abstract: A magnetic resonance multi-core array radio frequency device and a magnetic resonance signal receiving method are provided. The device comprises a radio frequency receiver which includes a radio frequency coil (11), a low noise preamplifier (13), a multiplexer (15), a radio frequency band-pass filter (17), a program control amplifier (19), a frequency synthesizer (21), a mixer (23), an analog to digital converter (29) and a controller (31). The controller (31) is used for controlling the multiplexer (15) to select a corresponding radio frequency coil channel, a corresponding filtering channel, gain of the radio frequency band-pass filter (17), and receiving a magnetic resonance digital signal transmitted by the analog to digital converter (29). Due to the multiplexer (15), there is no need to configure different circuits respectively for different nuclear magnetic resonance, redundancy of the circuits is reduced, and cost is reduced.
    Type: Grant
    Filed: November 14, 2012
    Date of Patent: March 28, 2017
    Assignee: Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
    Inventors: Bensheng Qiu, Yibiao Song, Yongqin Zhang, Hui Miao, Xin Liu, Hairong Zheng
  • Patent number: 9547885
    Abstract: Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image.
    Type: Grant
    Filed: September 13, 2013
    Date of Patent: January 17, 2017
    Assignee: Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
    Inventors: Hui Huang, Kangxue Yin, Minglun Gong, Baoquan Chen, Yunhai Wang
  • Publication number: 20160370444
    Abstract: Disclosed is a magnetic resonance rapid parameter imaging method and system. The method comprises: obtaining a target undersampled magnetic resonance signal (S10); obtaining prior information of a parameter model (S20); performing sequence reconstruction of a target image according to the undersampled magnetic resonance signal and the prior information to obtain a target image sequence (S30); and substituting the target image sequence into the parameter estimation model to obtain object parameters and to generate parametric images (S40).
    Type: Application
    Filed: December 5, 2014
    Publication date: December 22, 2016
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Xi PENG, Dong LIANG, Xin LIU, Hairong ZHENG
  • Publication number: 20160203636
    Abstract: A method for extracting a skeleton form a point cloud includes: obtaining inputted point cloud sampling data; contracting the point cloud using an iterative formula and obtaining skeleton branches, the iterative formula is: argmin X ? ? i ? I ? ? ? j ? J ? ? ? x i - q i ? ? ? ? ( ? x j - q j ? ) + R ? ( X ) , ? wherein R ? ( X ) = ? i ? I ? ? ? i ? ? i ? ? I ? \ ? { i } ? ? ? ? ( ? x i - x i ? ? ) ? i ? ? x i - x i ? ? , ? ? ( r ) = ? - 4 ? ? r 2 h 2 , wherein J represents a point set of the point cloud sampling data, q represents the sampling points in the point set J, I represents a neighborhood point set of the sampling points q, x represents the neighborhood points in the neighborhood point set I, R is a regular term, ? is a weighting coefficient, h is a neighborhood radius of the neighborhood point set I, and ? is a distribution coefficient; and connecti
    Type: Application
    Filed: September 13, 2013
    Publication date: July 14, 2016
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Hui HUANG, Shihao WU, Baoquan CHEN, Liangliang NAN
  • Patent number: 9390552
    Abstract: A method for extracting a skeleton form a point cloud includes: obtaining inputted point cloud sampling data; contracting the point cloud using an iterative formula and obtaining skeleton branches, the iterative formula is: arg ? ? min X ? ? i ? I = ? ? j ? J ? ? x i - q i ? ? ? ? ( ? x j - q j ? ) + R ? ( X ) , wherein R ? ( X ) = ? i ? I ? ? i ? ? i ? ? I / { i } ? ? ? ( ? x i - x i ? ? ) ? i ? ? x i - x i ? ? , ? ? ( r ) = ? 4 ? ? r 2 h 2 , wherein J represents a point set of the point cloud sampling data, q represents the sampling points in the point set J, I represents a neighborhood point set of the sampling points q, x represents the neighborhood points in the neighborhood point set I.
    Type: Grant
    Filed: September 13, 2013
    Date of Patent: July 12, 2016
    Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Hui Huang, Shihao Wu, Baoquan Chen, Liangliang Nan
  • Publication number: 20160189005
    Abstract: Provided is a method for extracting an image salient curve. The method comprises the following steps: drawing an approximate curve along a salient edge of an image from which a salient curve is to be extracted; obtaining short edges in the image; calculating a harmonic vector field by using the drawn curve as a boundary condition; filtering the short edges in the image by using the harmonic vector field; updating the vector field by using the short edges left in the image as boundary conditions; and obtaining an optimal salient curve of the image by using the energy of a minimized spline curve in the vector field. Also provided is a system for extracting an image salient curve. The image salient curve can ensure the smoothness and a bending characteristic.
    Type: Application
    Filed: December 4, 2013
    Publication date: June 30, 2016
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Kangxue YIN, Hui HUANG
  • Patent number: 9360310
    Abstract: The present disclosure relates to a multi-sensor indoor localization method and device. The method includes: an optical signal is received from a point light source using an optical sensor group having N optical sensors; the light intensity of the optical signal is obtained, the optical sensor group includes a polyhedron-shaped base where the normal vectors of each three faces are linearly independent, the N optical sensors are located on the faces of the base, and N?6; the current heading is obtained by a magnetic sensor group; a current unit normal vector is obtained; a system of at least three equations is established; the system of equations is solved to obtain an approximate solution of minimum residual, the approximate solution is regarded as the coordinates of the optical sensor group.
    Type: Grant
    Filed: November 22, 2013
    Date of Patent: June 7, 2016
    Assignee: Shenzhen Institute of Advanced Technology Chinese Academy of Sciences
    Inventors: Guang Tan, Bo Xie, Chenghua Mao
  • Publication number: 20160125226
    Abstract: Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires rep
    Type: Application
    Filed: November 26, 2013
    Publication date: May 5, 2016
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventor: Hui HUANG
  • Patent number: 9330461
    Abstract: The present disclosure proposes an image-based method for measuring elasticity of biological tissues including following steps: obtaining N successive grayscale images of a testing biological tissue, where N is a positive integer; obtaining regions of interest (ROI) of the grayscale images; dividing the regions of interest into a grid of small sections; calculating relative displacement vector of each interrogation window using texture matching method; and calculating elastic modulus of each interrogation window according to the relative displacement vectors. The present disclosure also proposes an image-based system for measuring elasticity of biological tissues. The present disclosure applies to various resolutions of grayscale images obtaining in ultrasound imaging, optical imaging, photoacoustic imaging, CT imaging, magnetic resonance imaging ect. The system can be integrated into a traditional clinical imaging system as an image post-processing software module to characterize tissue elasticity.
    Type: Grant
    Filed: August 29, 2012
    Date of Patent: May 3, 2016
    Assignee: Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
    Inventors: Hairong Zheng, Lili Niu, Ming Qian
  • Publication number: 20160047873
    Abstract: A fast magnetic resonance imaging method and system, the method comprising: applying a periodic radio-frequency pulse train to drive the magnetization vector of an imaging volume into a steady state (102); acquiring a free induction decay (FID) signal and an echo signal alternately in a steady-state free precession sequence (104); conducting an FID signal imaging and a T2-weighted imaging (106). Alternate acquisition of the FID signal and the echo signal in the steady-state free precession sequence effectively increases the signal-to-noise ratio (SNR) of the acquired signals and reduces the sensitivity of the sequence to motions.
    Type: Application
    Filed: March 29, 2013
    Publication date: February 18, 2016
    Applicant: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
    Inventors: Yiu-cho Chung, Yanjie Zhu, Xin Liu, Hairong Zheng
  • Patent number: 9031692
    Abstract: The present disclosure discloses a cloud robot system, including: a cloud computing platform and at least one robot; wherein the cloud computing platform is used for receiving perform information sent by the at least one robot in the system; the perform information includes data, status and requests of the at least one robot; the cloud computing platform is used for processing the data and status, sending process results back to the at least one robot, and sending control instructions to corresponding robot according to the requests; the at least one robot is used for sending the perform information to the cloud computing platform, receiving process results from the cloud computing platform, and performing according to the control instructions sent from the cloud computing platform. By using the present disclosure, computing ability and storage capacity of the robots can be expanded unlimited, while the thinking ability and memory of the robots are improved.
    Type: Grant
    Filed: August 11, 2011
    Date of Patent: May 12, 2015
    Assignee: Shenzhen Institutes of Advanced Technology Chinese Academy of Science
    Inventor: Dingju Zhu
  • Patent number: 9031135
    Abstract: A multi-media slicing and transcoding method includes: slice the multi-media with a specified unit, to get multiple sections; obtain length of the vague area in section; elongate a redundant length to two opposite ends of each section, wherein the redundant length it equal to the length of the vague area; transcode the sections after elongating the redundant length; cut the elongating redundant length from two opposite ends of each section after transcoding; and piece the sections after cutting together. This invention still provides a multi-media slicing and transcoding system. The multi-media slicing and transcoding method and system eliminate boundary vague area after piecing, and ensure a better effect. Furthermore, this invention still provides a computing storage medium.
    Type: Grant
    Filed: July 19, 2011
    Date of Patent: May 12, 2015
    Assignee: Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
    Inventor: Dingju Zhu
  • Publication number: 20150039262
    Abstract: The present disclosure relates to a multi-sensor indoor localization method and device. The method includes: an optical signal is received from a point light source using an optical sensor group having N optical sensors; the light intensity of the optical signal is obtained, the optical sensor group includes a polyhedron-shaped base where the normal vectors of each three faces are linearly independent, the N optical sensors are located on the faces of the base, and N?6; the current heading is obtained by a magnetic sensor group; a current unit normal vector is obtained; a system of at least three equations is established; the system of equations is solved to obtain an approximate solution of minimum residual, the approximate solution is regarded as the coordinates of the optical sensor group.
    Type: Application
    Filed: November 22, 2013
    Publication date: February 5, 2015
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: GUANG TAN, BO XIE, CHENGHUA MAO
  • Patent number: 8909411
    Abstract: A slip rate detection method and a detection system for detecting the slip rate of an electric vehicle using the method. The slip rate of an electric vehicle is measured by measuring the motor voltage, motor current, and motor rotational speed of the drive motor. The detection system includes a motor rotational speed detection unit, a motor voltage detection unit, and a motor current detection unit, all connected to the drive motor. The motor rotational speed detection unit, the motor voltage detection unit, and the motor current detection unit are connected to a slip rate calculation unit by means of a motor rotational speed signal processing unit, a voltage signal processing unit, and a current signal processing unit, respectively. The slip rate calculation unit is configured with a slip rate calculation formula. The formula is determined according to the drive motor type.
    Type: Grant
    Filed: July 29, 2011
    Date of Patent: December 9, 2014
    Assignee: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
    Inventors: Guoqing Xu, Kun Xu
  • Patent number: 8849000
    Abstract: A method and devices are disclosed to detect bright brain regions (BBRs) from clinical non-enhanced computed tomography images through large grayscale, large grayscale asymmetry with respect to the midsagittal plane (MSP), and large grayscale local contrast. An adaptive approach is disclosed to determine thresholds of the 3 features and adjust the window width for data conversion. The substantial grayscale variability of BBRs for a subject is addressed by finding the bright portion followed by recovering. Those BBR voxels symmetrical to the MSP are recovered, partial volume effects are compensated and the high grayscale regions which may not correspond to intracerebral hemorrhage are excluded. The disclosed method and system could be a useful tool to aid classifying stroke types, quantifying intracerebral hemorrhage and enhancing stroke therapy.
    Type: Grant
    Filed: December 4, 2009
    Date of Patent: September 30, 2014
    Assignee: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
    Inventor: Qingmao Hu
  • Patent number: 8718393
    Abstract: An urban scenes reconstruction method includes: acquiring digital data of a three-dimensional subject, the digital data comprising a 2D photograph and a 3D scan; fusing the 3D scan and the 2D photograph to create a depth-augmented photograph; decomposing the depth-augmented photograph into a plurality of constant-depth layers; detecting repetition patterns of each constant-depth layer; and using the repetitions to enhance the 3D scan to generate a polygon-level 3D reconstruction.
    Type: Grant
    Filed: July 28, 2010
    Date of Patent: May 6, 2014
    Assignee: Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
    Inventors: Baoquan Chen, Liangliang Nan, Qian Zheng
  • Publication number: 20130253755
    Abstract: A slip rate detection method and a detection system for detecting the slip rate of an electric vehicle using the method. The slip rate of an electric vehicle is measured by measuring the motor voltage, motor current, and motor rotational speed of the drive motor. The detection system includes a motor rotational speed detection unit, a motor voltage detection unit, and a motor current detection unit, all connected to the drive motor. The motor rotational speed detection unit, the motor voltage detection unit, and the motor current detection unit are connected to a slip rate calculation unit by means of a motor rotational speed signal processing unit, a voltage signal processing unit, and a current signal processing unit, respectively. The slip rate calculation unit is configured with a slip rate calculation formula. The formula is determined according to the drive motor type.
    Type: Application
    Filed: July 29, 2011
    Publication date: September 26, 2013
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, CHINESE ACADEMY OF SCIENCES
    Inventors: Guoqing Xu, Kun Xu
  • Publication number: 20130116580
    Abstract: The present disclosure relates to a system for physiological signal quality assessment, the system includes: a first filter module for implementing a filter process on an inputted first physiological signal; a first periodicity detection module for detecting periodicity of the filtered first physiological signal, and determining periodic segmentation point of the first physiological signal; a feature extracting module for extracting corresponding signal features of the first physiological signal in each heart period; and a fuzzy logic module for building up a fuzzy logic model according to the extracted signal features, and calculating a signal quality index for the first physiological signal in the relative period based on the built fuzzy logic model, and determining a signal attribute according to the signal quality index. A method for physiological signal quality assessment is provided as well.
    Type: Application
    Filed: July 2, 2010
    Publication date: May 9, 2013
    Applicant: Shenzhen Institute of Advanced Technology Chinese Academy of Sciences
    Inventors: Jia Liu, Pandeng Zhang, Xiaochang Liu, Xiaoan Gu, Jingyu Yan, Xinyu Wu, Yangsheng Xu
  • Publication number: 20120243774
    Abstract: An urban scenes reconstruction method includes: acquiring digital data of a three-dimensional subject, the digital data comprising a 2D photograph and a 3D scan; fusing the 3D scan and the 2D photograph to create a depth-augmented photograph; decomposing the depth-augmented photograph into a plurality of constant-depth layers; detecting repetition patterns of each constant-depth layer; and using the repetitions to enhance the 3D scan to generate a polygon-level 3D reconstruction.
    Type: Application
    Filed: July 28, 2010
    Publication date: September 27, 2012
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Baoquan Chen, Liangliang Nan, Qian Zheng