Patents Examined by Brenda C Bernardi
  • Patent number: 10733770
    Abstract: A method for performing fault-tolerant reconstruction of an image of an object is provided. The method includes acquiring a dataset corresponding to the object via a plurality of sensors, and detecting anomalous data within the dataset based at least in part on a statistical difference between the anomalous data and reference data within the dataset. The anomalous data is acquired by at least a first sensor of the plurality, and the reference data is acquired by at least a second sensor of the plurality that neighbors the first sensor.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: August 4, 2020
    Inventors: Michel Souheil Tohme, Floribertus P. Heukensfeldt Jansen, Timothy Wayne Deller
  • Patent number: 10735878
    Abstract: Example techniques may involve a first playback device forming a stereo pair with a second playback device while the first playback device is placed onto a device base, and conversely, playing in mono while the first playback device is removed from the device base. In an example implementation, while a first playback device is placed onto a device base, the first playback device plays back audio content as a stereo pair with a second playback device. The first playback device detects, via a sensor, removal of the first playback device from the device base. When the first playback device is removed from the device base, the first playback device is configured to play back audio content in mono. Configuring the first playback device to play back audio content in mono removes the first playback device from the stereo pair with the second playback device.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: August 4, 2020
    Assignee: Sonos, Inc.
    Inventor: Benjamin Rappoport
  • Patent number: 10731864
    Abstract: A cooking appliance, in particular a commercial cooking appliance, with a housing, in which a cooking chamber is arranged, which has a cooking chamber opening, which can be opened and closed using a cooking chamber door; with an optical system, which has at least one optical capturing device above the cooking chamber opening; and with a protection against contamination for the optical system, wherein the protection against contamination has a catching surface, which can be moved using a drive unit and which, seen in the capturing direction of the optical system, is arranged in front thereof.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: August 4, 2020
    Inventor: Hannes Wild
  • Patent number: 10733450
    Abstract: Multiple video files that are captured by calibrated imaging devices may be annotated based on a single annotation of an image frame of one of the video files. An operator may enter an annotation to an image frame via a user interface, and the annotation may be replicated from the image frame to other image frames that were captured at the same time and are included in other video files. Annotations may be updated by the operator and/or tracked in subsequent image frames. Predicted locations of the annotations in subsequent image frames within each of the video files may be determined, e.g., by a tracker, and a confidence level associated with any of the annotations may be calculated. Where the confidence level falls below a predetermined threshold, the operator may be prompted to delete or update the annotation, or the annotation may be deleted.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: August 4, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Roman Goldenberg, Gerard Guy Medioni, Ofer Meidan, Ehud Benyamin Rivlin, Dilip Kumar
  • Patent number: 10726264
    Abstract: Techniques for localizing a device based on images captured by the device. The techniques include receiving, from a device via a data communication network, image frame data for frames captured by an imaging camera included in the device, the frames including a first frame, automatically detecting real-world objects captured in the image frame data, automatically classifying the detected real-world objects as being associated with respective object classes, automatically identifying object class and instance dependent keypoints for the real-world objects based on the object classes associated with the real-world objects, and estimating a pose of the device for the first frame based on at least the identified object class and instance dependent keypoints.
    Type: Grant
    Filed: June 25, 2018
    Date of Patent: July 28, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Harpreet Singh Sawhney, Marc André Léon Pollefeys
  • Patent number: 10713484
    Abstract: A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: July 14, 2020
    Assignee: Blue River Technology Inc.
    Inventors: Andrei Polzounov, James Patrick Ostrowski, Lee Kamp Redden, Olgert Denas, Chia-Chun Fu, Chris Padwick
  • Patent number: 10706543
    Abstract: A method includes accessing a set of model points of a model of one or more passageways of a patient; detecting a point collection condition in image data obtained from an image-capture device of a catheter based upon machine vision; automatically initiating collection of a set of measured points based on detection of the point collection condition in the image data obtained from the image-capture device; performing a point set registration algorithm using the set of model points of the model of one or more passageways of the patient and the set of measured points to produce a registered set of model points; and displaying a visual representation of the registered set of model points in a user interface provided by a display system.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: July 7, 2020
    Inventors: Caitlin Q. Donhowe, Vincent Duindam, Timothy D. Soper, Tao Zhao
  • Patent number: 10702220
    Abstract: The invention relates to a tomography system (TA) comprising a first (QD1) and a second (QD2) beam source-detector pair for capturing one series (A1, A2) of projection image data sets (PB1, PB2) each from one projection angle (W1, W2) each and a volume image production system (VE) for producing a series (AV) of volume images (VB) of a vascular system (GS) while taking into account first confidence values (VW1) of the first pixel values (PW1) and/or while taking into account second confidence values (VW2) of the second pixel values (PW2). The confidence value (VW1, VW2) of a pixel value (PW1, PW2) depends on a pixel-specific traversing length (L) that a projection beam (PS1, PS2) traverses on a path through parts (Gi) of the vascular system (GS) from the first (Q1) or the second (Q2) beam source to a pixel-specific sensor element (S) of the associated first (D1) or second (D2) detector.
    Type: Grant
    Filed: December 9, 2015
    Date of Patent: July 7, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Klaus Klingenbeck, Markus Kowarschik, Christopher Rohkohl, Kevin Royalty, Sebastian Schafer
  • Patent number: 10699104
    Abstract: The present disclosure provides a method, computer system and computer program product for obtaining an image. According to the method, an emotional status of a user is determined, at least one character can be determined based on a preference of the user, and at least one image comprising the at least one character can be obtained based on the emotional status of the user.
    Type: Grant
    Filed: May 3, 2018
    Date of Patent: June 30, 2020
    Assignee: International Business Machines Corporation
    Inventors: Cheng Xu, Su Liu, Bing Fang, Li Ya Feng
  • Patent number: 10699111
    Abstract: Disclosed systems and methods generate page segmented documents from unstructured vector graphics documents. The page segmentation application executing on a computing device receives as input an unstructured vector graphics document. The application generates an element proposal for each of many areas on a page of the input document tentatively identified as being page elements. The page segmentation application classifies each of the element proposals into one of a plurality of defined type of categories of page elements. The page segmentation application may further refine at least one of the element proposals and select a final element proposal for each element within the unstructured vector document. One or more of the page segmentation steps may be performed using a neural network.
    Type: Grant
    Filed: January 18, 2019
    Date of Patent: June 30, 2020
    Assignee: Adobe Inc.
    Inventors: Scott Cohen, Brian Lynn Price, Dafang He, Michael F. Kraley, Paul Asente
  • Patent number: 10685233
    Abstract: Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: June 16, 2020
    Assignee: Google LLC
    Inventors: Tim Wantland, Donald A. Barnett, David Matthew Jones
  • Patent number: 10685254
    Abstract: The present invention relates to a device for encoding an anatomical shape (13) of a living being, comprising a receiving unit (12) for receiving an anatomical shape (13); a shape representation generating unit (14) for generating a shape representation of the anatomical shape (13) by using one or more shape representation models and determining the value of one or more shape representation coefficients of the one or more shape representation models; and a conversion unit (16) for converting the determined value of the one or more shape representation coefficients into a human-readable code comprising one or more human-readable characters.
    Type: Grant
    Filed: October 20, 2016
    Date of Patent: June 16, 2020
    Inventors: Frank Michael Weber, Irina Waechter-Stehle, Rafael Wiemker
  • Patent number: 10679050
    Abstract: Various embodiments herein each include at least one of systems, devices, software, and methods for invalidation recognition and fraud prevention. One embodiment, in the form of a method, includes identifying a document-type of a received image as a check and identifying each of at least one area of the received image as a zone of the check. This method continues by processing each zone to locate text or symbols indicating the check is non-negotiable and subsequently outputting a non-negotiable rejection indication to prevent further payment processing of the check image.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: June 9, 2020
    Assignee: NCR Corporation
    Inventor: Arun George Eapen
  • Patent number: 10681257
    Abstract: A system and method for determining a dimension of a target. The method includes: determining a camera parameter, the camera parameter including at least one of a focal length, a yaw angle, a roll angle, a pitch angle, or a height of one or more cameras; acquiring a first image and a second image of an target captured by the one or more cameras; generating a first corrected image and a second corrected image by correcting the first image and the second image; determining a parallax between a pixel in the first corrected image and a corresponding pixel in the second corrected image; determining an outline of the target; and determining a dimension of the target based at least in part on the camera parameter, the parallax, and the outline of the target.
    Type: Grant
    Filed: August 26, 2016
    Date of Patent: June 9, 2020
    Inventors: Wei Lu, Qiankun Li, Shizhu Pan, Jichao Geng, Xiaohui Sun, Haijiang Pan, Jinting Wang
  • Patent number: 10679352
    Abstract: A method for automatic segmentation of brain tumors merging full convolution neural networks with conditional random fields. The present application intends to address the issue that presently the technology of deep learning is unable to ensure the continuity of the segmentation result in shape and in space when segmenting brain tumors. For this purpose, the present application includes the following steps: step 1, processing a magnetic resonance image comprising brain tumors by utilizing a method for non-uniformity bias correction and brightness regularization, to generate a second magnetic resonance image; step 2, performing brain tumor segmentation for said second magnetic resonance image by utilizing a neural network merging a full convolutional neural network with a conditional random field, and outputting a result of brain tumor segmentation. The present method may execute brain tumor segmentation end-to-end and slice by slice during testing, which has relatively high computation efficiency.
    Type: Grant
    Filed: November 7, 2016
    Date of Patent: June 9, 2020
    Assignee: Institute of Automation, Chinese Academy of Sciences
    Inventors: Yihong Wu, Xiaomei Zhao
  • Patent number: 10672111
    Abstract: An image processing apparatus includes at least one processor operatively coupled to a memory, serving as an obtaining unit configured to obtain a contrast material-enhanced image of an object, a first region extraction unit configured to extract a first region representing a first anatomical portion of the object from the image, with the first anatomical portion in the object being contrast material-enhanced, and an estimation unit configured to estimate a phase of the image based on a comparison result between a feature amount concerning a gray level in the first region and statistical data concerning a gray level in a plurality of phases of the first anatomical portion.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: June 2, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventor: Yuta Nakano
  • Patent number: 10671896
    Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes providing a visual concurrent display of a set of images of features, the features requiring classification by a reviewing user. The user interface is provided to enable the reviewing user to assign classifications to the images, the user interface being configured to create, read, update, and/or delete classifications. The user interface is responsive to the user, with the user response indicating at least two images with a single classification. The user interface is updated to represent the single classification.
    Type: Grant
    Filed: December 4, 2017
    Date of Patent: June 2, 2020
    Inventors: Murray A. Reicher, Aviad Zlotnick
  • Patent number: 10667723
    Abstract: The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals. Examples include flood fill methods and skin tone filtering methods.
    Type: Grant
    Filed: February 14, 2017
    Date of Patent: June 2, 2020
    Assignee: COVIDIEN LP
    Inventors: Dominique Jacquel, Paul Stanley Addison, David Foo
  • Patent number: 10664685
    Abstract: Methods, systems, and devices described herein enable single-image optical sectioning, even at depth within turbid media, such as human skin or other tissue. Embodiments can eliminate the need for multiple image samples or raster scans, making in-vivo or live biological imaging easier and faster than multi-image sectioning techniques. Better contrast and resolution than traditional three-phase structured illumination microscopy (SIM) is possible in turbid media. Embodiments enable imaging of cell nuclei. Resolution and contrast resulting from disclosed embodiments are less sensitive to motion of or within patients or other targets than confocal microscopy and three-phase SIM techniques. Three-dimensional images of target specimens can be provided based on a group of single-image optical sections. Real-time imaging can also be provided.
    Type: Grant
    Filed: February 2, 2018
    Date of Patent: May 26, 2020
    Inventors: Zachary R. Hoffman, Charles A. DiMarzio
  • Patent number: 10643352
    Abstract: An encoder includes a processor and a memory. The encoder may perform a method of progressive compression. In one example implementation, the method may include identifying a pair of partitioning vertices to be connected to a split vertex associated with a collapse of an edge, creating the split vertex by collapsing the edge, encoding partitioning vertex information associated with the pair of partitioning vertices, the encoding of the partitioning vertex information based on an ordering of vertices of an umbrella of the split vertex, and the ordering of vertices of the umbrella determined based on a geometric shape and connectivity of the umbrella, and generating vertex split information that includes the partitioning vertex information. In another example implementation, the method may include entropy encoding the vertex split information prior to being transmitted.
    Type: Grant
    Filed: April 12, 2018
    Date of Patent: May 5, 2020
    Assignee: GOOGLE LLC
    Inventors: Michael Hemmer, Pierre Alliez, Cedric Portaneri