-
公开(公告)号：US20220188975A1
公开(公告)日：2022-06-16
申请号：US17604307
申请日：2020-04-20
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Yukito WATANABE , Kaori KUMAGAI , Takashi HOSONO , Jun SHIMAMURA , Atsushi SAGATA
IPC: G06T3/40
Abstract: A low-resolution image can be converted into a high-resolution image in consideration of differential values of the images.
A learning conversion unit 22 inputs a first image for learning to a conversion processing model for converting the first image into a second image having a higher resolution than the first image to acquire the second image for learning corresponding to the first image for learning. Then, a differential value calculation unit 24 calculates a differential value from the acquired second image for learning, and calculates a differential value from a correct second image corresponding to the first image for learning. Then, the learning unit 26 causes the conversion processing model to learn by associating the calculated differential value of the second image for learning with the differential value of the correct second image.-
公开(公告)号：US20220398868A1
公开(公告)日：2022-12-15
申请号：US17774113
申请日：2020-10-30
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Takashi HOSONO , Yongqing SUN , Kazuya HAYASE , Jun SHIMAMURA , Kiyohito SAWADA
IPC: G06V40/20 , G06V10/774 , G06V10/24 , G06V10/77
Abstract: The present invention makes it possible to cause an action recognizer capable of recognizing actions with high accuracy and with a small quantity of learning data to learn. An input unit 101 receives input of a learning video and an action label indicating an action of an object, a detection unit 102 detects a plurality of objects included in each frame image included in the learning video, a direction calculation unit 103 calculates a direction of a reference object, which is an object to be used as a reference among the plurality of detected objects, a normalization unit 104 normalizes the learning video so that a positional relationship between the reference object and another object becomes a predetermined relationship, and an optimization unit 106 optimizes parameters of an action recognizer to estimate the action of the object in the inputted video based on the action estimated by inputting the normalized learning video to the action recognizer and the action indicated by the action label.
-
公开(公告)号：US20220019841A1
公开(公告)日：2022-01-20
申请号：US17312367
申请日：2019-12-02
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Takashi HOSONO , Yukito WATANABE , Jun SHIMAMURA , Atsushi SAGATA
IPC: G06K9/62 , G06T7/60 , G06K9/03 , G06F16/532 , G06F16/55
Abstract: A list for accurately identifying objects with different sizes that are the same attributes can be generated automatically. A classification unit classifies, from a group of images consisting of images including objects with any of a plurality of attributes, each of the images including the objects that have an identical attribute and have different real sizes into an identical cluster. An output unit outputs each of clusters into which at least two of the images are classified as a list of images with different real sizes of the objects for the identical attribute.
-
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.
-
Patent Agency Ranking
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.
-
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.
-
公开(公告)号：US20230186478A1
公开(公告)日：2023-06-15
申请号：US17928851
申请日：2020-06-05
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Yongqing SUN , Takashi HOSONO
CPC classification number: G06T7/11 , G06T7/194 , G06T2210/12
Abstract: A segmentation recognition method includes: an object detection step of detecting an object image in a target image by inputting bounding box information including a coordinate and category information of each bounding box defined in the target image to an object detection model that uses a machine learning approach; a filtering step of selecting effective training mask information from training mask information associated with foregrounds in the target image based on the bounding box information; a bounding box branch step of recognizing the object image using weight information of the object detection model as an initial value of weight information of an object recognition model that recognizes an object of the object image; and a mask branch step of generating mask information having a shape of the object image using the selected effective training mask information as training data and using weight information of the object recognition model as an initial value of weight information of a segmentation shape model that segments the target image according to a shape of the object image.
-
公开(公告)号：US20220277592A1
公开(公告)日：2022-09-01
申请号：US17626073
申请日：2020-07-10
Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor： Takashi HOSONO , Yongqing SUN , Jun SHIMAMURA , Atsushi SAGATA , Kiyohito SAWADA
Abstract: An object is to accurately recognize an action of a subject. A direction alignment unit 24 is configured to perform at least one of rotation and inversion on an image based on an action direction of a desired subject in the image, so as to obtain an adjusted image. An action recognition device 26 is configured to recognize an action of the desired subject using the adjusted image as an input.
-
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.
-
-
-
-
-
-
-
-
Search Results
9
records
(took 0.016 seconds)
