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公开(公告)号：US20210304415A1
公开(公告)日：2021-09-30
申请号：US17265166
申请日：2019-08-01
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Yukito WATANABE , Shuhei TARASHIMA , Takashi HOSONO , Jun SHIMAMURA , Tetsuya KINEBUCHI
Abstract: The present invention makes it possible to estimate, with high precision, a candidate region indicating each of multiple target objects included in an image. A parameter determination unit 11 determines parameters to be used when detecting a boundary line of an image 101 based on a ratio between a density of boundary lines included in an image 101 and a density of boundary lines in a region indicated by region information 102 indicating the region including at least one of the multiple target objects included in the image 101. A boundary line detection unit 12 detects the boundary line in the image 101 using the parameter. For each of the multiple target objects included in the image 101, the region estimation unit 13 estimates the candidate region of the target object based on the detected boundary line.
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公开(公告)号：US20210158016A1
公开(公告)日：2021-05-27
申请号：US17048083
申请日：2019-04-16
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Yasuhiro YAO , Hitoshi NIIGAKI , Ken TSUTSUGUCHI , Tetsuya KINEBUCHI
Abstract: A large-scale point cloud having no limitation on the range or the number of points is set as an object, and labels are attached to the points constituting the object regardless of the type of object.
A three-dimensional point cloud label learning apparatus 10A includes a ground-based height calculation unit that receives a three-dimensional point cloud and a ground surface height as inputs and outputs a three-dimensional point cloud with a ground-based height, an intensity-RGB conversion unit that receives the three-dimensional point cloud with the ground-based height as an input and outputs an intensity-RGB converted three-dimensional point cloud with the ground-based height, a supervoxel clustering unit that receives the intensity-RGB converted three-dimensional point cloud with the ground-based height, a point cloud label for learning, and a clustering hyperparameter as inputs and outputs supervoxel data with a correct answer label, and a deep neural network learning unit that receives the supervoxel data with the correct answer label and a deep neural network hyperparameter as inputs and outputs a learned deep neural network parameter.-
公开(公告)号：US20210216818A1
公开(公告)日：2021-07-15
申请号：US17058099
申请日：2019-05-28
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Takayuki UMEDA , Kazuhiko MURASAKI , Shingo ANDO , Tetsuya KINEBUCHI
Abstract: Simultaneous learning of a plurality of different tasks and domains, with low costs and high precision, is enabled. A learning unit 160, on the basis of learning data, uses a target encoder that takes data of a target domain as input and outputs a target feature expression, a source encoder that takes data of a source domain as input and outputs a source feature expression, a common encoder that takes data of the target domain or the source domain as input and outputs a common feature expression, a target decoder that takes output of the target encoder and the common encoder as input and outputs a result of executing a task with regard to data of the target domain, and a source decoder that takes output of the source encoder and the common encoder as input and outputs a result of executing a task with regard to data of the source domain, to learn so that the output of the target decoder matches training data, and the output of the source decoder matches training data.
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公开(公告)号：US20210209403A1
公开(公告)日：2021-07-08
申请号：US17251172
申请日：2019-05-07
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Shuhei TARASHIMA , Takashi HOSONO , Yukito WATANABE , Jun SHIMAMURA , Tetsuya KINEBUCHI
Abstract: Even if an object to be detected is not remarkable in images, and the input includes images including regions that are not the object to be detected and have a common appearance on the images, a region indicating the object to be detected is accurately detected. A local feature extraction unit 20 extracts a local feature of a feature point from each image included in an input image set. An image-pair common pattern extraction unit 30 extracts, from each image pair selected from images included in the image set, a common pattern constituted by a set of feature point pairs that have similar local features extracted by the local feature extraction unit 20 in images constituting the image pair, the set of feature point pairs being geometrically similar to each other. A region detection unit 50 detects, as a region indicating an object to be detected in each image included in the image set, a region that is based on a common pattern that is omnipresent in the image set, of common patterns extracted by the image-pair common pattern extraction unit 30.
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公开(公告)号：US20210201440A1
公开(公告)日：2021-07-01
申请号：US17058089
申请日：2019-05-28
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Jun SHIMAMURA , Shuhei TARASHIMA , Yukito WATANABE , Takashi HOSONO , Tetsuya KINEBUCHI
Abstract: An object is to make it possible to precisely infer a geometric transformation matrix for transformation between an image and a reference image representing a plane region even if correspondence to the reference image cannot be obtained. A first line segment group extraction unit 120 extracts, out of a line segment group in an image, line segments that correspond to a direction that is parallel or perpendicular to a side of a rectangle included in the image, from the inside of the rectangle, takes the extracted line segments to be a first line segment group, and extracts a plurality of line segments different from the first line segment group out of the line segment group. An endpoint detection unit 150 detects four intersection points between ends of the image and two line segments that are selected from line segments that correspond to a direction that is parallel or perpendicular to a side of the rectangle and are extracted from a plurality of line segments obtained by transforming the different line segments using an affine transformation matrix in which an angle of the first line segment group relative to a reference direction of the image is used as a rotation angle. A homography matrix inferring unit 160 computes a geometric transformation matrix based on the affine transformation matrix and a homography matrix computed based on correspondence between the four intersection points and the four vertexes of the rectangle in a reference image.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20240428285A1
公开(公告)日：2024-12-26
申请号：US18700765
申请日：2021-11-09
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Hideaki KIN , Tetsuya KINEBUCHI , Taichi ASAMI
IPC: G06Q30/0211
Abstract: An information processing apparatus according to an embodiment includes an acquisition unit configured to acquire action history data for each user and a condition for optimizing an incentive measure; a parameter estimation unit configured to estimate a parameter value of an action model for the each user on the basis of the action history data; an optimization unit configured to calculate an optimum incentive measure for the each user on the basis of the estimated parameter value and the condition; and an output unit configured to output the optimum incentive measure.
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公开(公告)号：US20240296842A1
公开(公告)日：2024-09-05
申请号：US18573449
申请日：2021-06-30
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Ko MITSUDA , Ryuichiro HIGASHINAKA , Tetsuya KINEBUCHI
CPC classification number: G10L15/22 , G10L15/063 , G10L15/26 , G10L2015/0638
Abstract: An utterance information acquisition unit acquires utterance information of a collaborator who performs collaborative work for achieving a task through a dialogue. A dialogue control unit acquires information regarding the process of achieving the task by a plurality of workers performing the collaborative work through a dialogue and generates a system utterance by using an estimation model on the basis of the utterance information acquired by the utterance information acquisition unit, the information regarding the process, and main result information indicating an intermediate result of the collaborative work by the own device. An output unit outputs the system utterance generated by the dialogue control unit to the collaborator.
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公开(公告)号：US20240013798A1
公开(公告)日：2024-01-11
申请号：US18036598
申请日：2020-11-13
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Kazunori YAMADA , Ko MITSUDA , Tetsuya KINEBUCHI , Yushi AONO , Hiroko YABUSHITA , Akihiko TAKASHIMA , Takashi NAKAMURA
Abstract: A conversion device (10) includes: an evaluation unit (11) that estimates which one of subjective evaluation values obtained by quantifying easiness of transmission of a content of a voice felt by a person is to be taken from an input voice signal; and a conversion unit (12) that converts the input voice signal so as to obtain a subjective evaluation value of a predetermined value on the basis of the subjective evaluation value estimated by the evaluation unit (11).
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公开(公告)号：US20210217196A1
公开(公告)日：2021-07-15
申请号：US17054752
申请日：2019-05-14
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Jun SHIMAMURA , Yukito WATANABE , Tetsuya KINEBUCHI
Abstract: It is possible to determine a geometric transformation matrix representing geometric transformation between an input image and a template image with high precision. A geometric transformation matrix/inlier estimation section 32 determines a corresponding point group serving as inliers, and estimates the geometric transformation matrix representing the geometric transformation between the input image and the template image. A scatter degree estimation section 34 estimates scatter degree of the corresponding points based on the corresponding point group serving as inliers. A plane tracking convergence determination threshold calculation section 36 calculates a threshold used in convergence determination when iterative update of the geometric transformation matrix in a plane tracking section 38 is performed based on the estimated scatter degree. The plane tracking section 38 iterates update of the geometric transformation matrix so as to minimize a difference in value to pixels of a geometric transformation image obtained by transforming one of the input image and the templated image using the geometric transformation matrix and corresponding pixels until it is determined that convergence has been completed using the calculated threshold.
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公开(公告)号：US20210216829A1
公开(公告)日：2021-07-15
申请号：US15733883
申请日：2019-05-31
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Takashi HOSONO , Shuhei TARASHIMA , Jun SHIMAMURA , Tetsuya KINEBUCHI
Abstract: Objectness indicating a degree of accuracy of a single object is accurately estimated. An edge detection unit 30 detects an edge for a depth image, an edge density/uniformity calculation unit 40 calculates an edge density on the periphery of a candidate region, an edge density inside the candidate region, and edge uniformity on the periphery of the candidate region. An objectness calculation unit 42 calculates the objectness of the candidate region based on the edge density on the periphery of the candidate region, the edge density inside the candidate region, and the edge uniformity on the periphery of the candidate region.
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