公开(公告)号：US20240362809A1

公开(公告)日：2024-10-31

申请号：US18768259

申请日：2024-07-10

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Masanori ERA ,  Masaharu FUKAKUSA

IPC: G06T7/593 ,  H04N13/00 ,  H04N13/239

CPC classification number: G06T7/593 ,  G06T2207/10012 ,  H04N2013/0081 ,  H04N13/239

Abstract: An image processing device includes a measurement part configured to process a first image outputted from a first imaging part and a second image outputted from a second imaging part placed so as to be separated from the first imaging part, and search for a pixel block corresponding to a target pixel block on the first image, in a search range defined on the second image. The search range extends in a direction of separation between the first imaging part and the second imaging part. The measurement part executes a plurality of search processes for which search start positions and search end positions are different from each other, for the search range.

公开(公告)号：US20240362805A1

公开(公告)日：2024-10-31

申请号：US18309603

申请日：2023-04-28

Applicant: QUALCOMM Incorporated

Inventor： James Wilson NASH ,  Kalin Mitkov ATANASSOV ,  Jason CHUNG

IPC: G06T7/521 ,  G06T7/593 ,  G06V10/141 ,  G06V10/25

CPC classification number: G06T7/521 ,  G06T7/593 ,  G06V10/141 ,  G06V10/25 ,  G06T2207/10028

Abstract: Systems and techniques are provided for wireless communication. For example, a process can include obtaining a first image of an environment, the first image including a pattern of light. The process can further include determining a pixel window for a pixel of the first image; determining a set of transform pixels based on the pattern of light, wherein the set of transform pixels are a subset of pixels from the pixel window; performing a census transform based on the pixel and the set of transform pixels to obtain census transform information for the first image; and generating depth data based on the census transform information for the first image and census transform information for a second image.

公开(公告)号：US12131493B2

公开(公告)日：2024-10-29

申请号：US17338999

申请日：2021-06-04

Applicant: PUSAN NATIONAL UNIVERSITY INDUSTRY-UNIVERSITY COOPERATION FOUNDATION

Inventor： Won Joo Hwang

IPC: G06T7/593 ,  G06N3/045

CPC classification number: G06T7/593 ,  G06N3/045 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Disclosed is an apparatus for generating a depth map using a monocular image. The apparatus includes: a deep convolution neural network (DCNN) optimized based on an encoder and decoder architecture. The encoder extracts one or more features from the monocular image according to the number of provided feature layers, and the decoder calculates displacements of mismatched pixels from the features extracted from different feature layers, and generates the depth map for the monocular image.

公开(公告)号：US20240334050A1

公开(公告)日：2024-10-03

申请号：US18618759

申请日：2024-03-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Liubov Vladimirovna STEPANOVA ,  Vladimir Petrovich BOGACHEV ,  Maxim Alexeevich SHIKUNOV ,  Aleksandr Aleksandrovich KHAKHMOVICH ,  Kira Sergeevna KIRILLOVA ,  Petr POHL

IPC: H04N23/667 ,  G06T7/246 ,  G06T7/593 ,  H04N23/61

CPC classification number: H04N23/667 ,  G06T7/246 ,  G06T7/593 ,  H04N23/61 ,  G06T2207/10012

Abstract: According to an embodiment of the disclosure, the method may include obtaining an image of a scene including an object of interest to be tracked in at least one camera mode, obtaining image data of at least two consecutive frames in the at least one camera mode based on the image, estimating a disparity and a reliability of the scene including the object of interest based on the image data, estimating a camera-to-object distance based on the disparity and the reliability, switching the camera mode based on the camera-to-object distance.

公开(公告)号：US20240331181A1

公开(公告)日：2024-10-03

申请号：US18434684

申请日：2024-02-06

Applicant: Adeia Imaging LLC

Inventor： Florian Ciurea ,  Kartik Venkataraman ,  Gabriel Molina ,  Dan Lelescu

IPC: G06T7/593 ,  G02B27/00 ,  G06T7/557 ,  G06T7/80 ,  G06T15/20 ,  H04N13/00 ,  H04N13/128 ,  H04N13/232 ,  H04N13/243 ,  H04N23/16

CPC classification number: G06T7/593 ,  G02B27/0075 ,  G06T7/557 ,  G06T7/85 ,  G06T15/20 ,  H04N13/128 ,  H04N13/232 ,  H04N13/243 ,  H04N23/16 ,  G06T2200/21 ,  G06T2207/10012 ,  G06T2207/10024 ,  G06T2207/10052 ,  H04N2013/0081 ,  H04N2013/0088

Abstract: Systems in accordance with embodiments of the invention can perform parallax detection and correction in images captured using array cameras. Due to the different viewpoints of the cameras, parallax results in variations in the position of objects within the captured images of the scene. Methods in accordance with embodiments of the invention provide an accurate account of the pixel disparity due to parallax between the different cameras in the array, so that appropriate scene-dependent geometric shifts can be applied to the pixels of the captured images when performing super-resolution processing. In a number of embodiments, generating depth estimates considers the similarity of pixels in multiple spectral channels. In certain embodiments, generating depth estimates involves generating a confidence map indicating the reliability of depth estimates.

公开(公告)号：US20240320754A1

公开(公告)日：2024-09-26

申请号：US18733633

申请日：2024-06-04

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Timothy J. Spader ,  George T. Dulee, JR. ,  Donald Yuhas ,  Aaron Brucker ,  Chris Stroh ,  Jeffrey Mousty

IPC: G06Q40/08 ,  G01C11/02 ,  G01C11/06 ,  G06T1/00 ,  G06T7/593 ,  G06T7/60 ,  G06V10/764 ,  G06V10/82 ,  G06V20/13 ,  G06V20/64 ,  H04N13/204

CPC classification number: G06Q40/08 ,  G01C11/025 ,  G01C11/06 ,  G06T1/0007 ,  G06T7/593 ,  G06T7/60 ,  G06V10/764 ,  G06V10/82 ,  G06V20/13 ,  G06V20/64 ,  H04N13/204 ,  G06T2207/10012 ,  G06T2207/10021

Abstract: A structural analysis computing device may generate a proposed insurance claim and/or generate a proposed insurance quote for an object pictured in a three-dimensional (3D) image. The structural analysis computing device may be coupled to a drone configured to capture exterior images of the object. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image, and a processor in communication with the memory and the object sensor. The processor may access the 3D image including the object, and analyze the 3D images to identify features of the object-such as by inputting the 3D image into a trained machine learning or pattern recognition program. The processor may generate a proposed claim form for a damaged object and/or a proposed quote for an uninsured object, and display the form to a user for their review and/or approval.

公开(公告)号：US12101455B2

公开(公告)日：2024-09-24

申请号：US18316269

申请日：2023-05-12

Applicant: Corephotonics Ltd.

Inventor： Oded Gigushinski ,  Nadav Geva ,  Guy Lifshitz

IPC: H04N13/25 ,  G06T7/593 ,  H04N13/243 ,  H04N23/66 ,  H04N23/698

CPC classification number: H04N13/25 ,  G06T7/593 ,  H04N13/243 ,  H04N23/66 ,  H04N23/698 ,  G06T2207/10016

Abstract: Multi-aperture zoom digital cameras comprising first and second scanning cameras having respective first and second native fields of view (FOV) and operative to scan a scene in respective substantially parallel first and second planes over solid angles larger than the respective native FOV, wherein the first and second cameras have respective centers that lie on an axis that is perpendicular to the first and second planes and are separated by a distance B from each other, and a camera controller operatively coupled to the first and second scanning cameras and configured to control the scanning of each camera.

公开(公告)号：US12100173B2

公开(公告)日：2024-09-24

申请号：US17451663

申请日：2021-10-21

Applicant: Tata Consultancy Services Limited

Inventor： Vishal Kumar Bhutani ,  Madhu Babu Vankadari ,  Anima Majumder Dutta ,  Omprakash Manojkumar Jha ,  Samrat Dutta

IPC: G06T7/593 ,  G06N3/08 ,  G06N5/04 ,  G06T7/73

CPC classification number: G06T7/593 ,  G06N3/08 ,  G06N5/04 ,  G06T7/73 ,  G06T2207/10012 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Depth estimation of images using deep learning methods is a wide range of application in Augmented Reality, 3D graphics and robotics. Conventional methods are supervised, which requires explicit ground truth depth information for training and the conventional unsupervised methods fails to provide a generalized solution. The present disclosure estimates accurate depth information and confidence map of a given monocular image in an unsupervised manner. A depth Neural Network receives a monocular image and predicts per-pixel depth map and a confidence map. The depth NN utilizes a negative exponential of photometric loss as ground truth information. The predicted confidence-map is further used to estimate per-pixel uncertainty map. The pose NN predicts a plurality of pose vectors between a plurality of the consecutive monocular images. Finally, the Bayesian inference module is computes the fused depth information and the fused uncertainty map.

公开(公告)号：US12099148B2

公开(公告)日：2024-09-24

申请号：US17280136

申请日：2020-10-07

Applicant: INTRINSIC INNOVATION LLC

Inventor： Achuta Kadambi ,  Kartik Venkataraman ,  Supreeth Krishna Rao ,  Agastya Kalra

IPC: G06T17/00 ,  G01B11/06 ,  G01B11/24 ,  G01S7/499 ,  G01S13/89 ,  G01S17/87 ,  G01S17/89 ,  G06T7/11 ,  G06T7/521 ,  G06T7/593 ,  G06T7/60 ,  H04N13/243 ,  H04N13/257

CPC classification number: G01S7/499 ,  G01B11/0641 ,  G01B11/24 ,  G01S13/89 ,  G01S17/87 ,  G01S17/89 ,  G06T7/11 ,  G06T7/521 ,  G06T7/593 ,  G06T7/60 ,  G06T17/00 ,  H04N13/243 ,  H04N13/257 ,  G06T2200/08 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A method of performing surface profilometry includes receiving one or more polarization raw frames of a printed layer of a physical object undergoing additive manufacturing, the one or more polarization raw frames being captured at different polarizations by one or more polarization cameras, extracting one or more polarization feature maps in one or more polarization representation spaces from the one or more polarization raw frames, obtaining a coarse layer depth map of the printed layer, generating one or more surface-normal images based on the coarse layer depth map and the one or more polarization feature maps, and generating a 3D reconstruction of the printed layer based on the one or more surface-normal images.

公开(公告)号：US20240312039A1

公开(公告)日：2024-09-19

申请号：US18589467

申请日：2024-02-28

Applicant: CANON KABUSHIKI KAISHA

Inventor： Yasufumi TAKAMA

IPC: G06T7/593 ,  G06T7/00 ,  G06T7/521 ,  H04N17/00

CPC classification number: G06T7/593 ,  G06T7/0002 ,  G06T7/521 ,  H04N17/002 ,  G06T2207/10012 ,  G06T2207/10028

Abstract: The disclosure reduces an object shape estimation error even if an abnormality occurs in a device for obtaining a distance to the object. An information processing apparatus according to the disclosure obtains foreground information indicating regions corresponding to a foreground object in images captured by multiple image capturing devices that capture images of an image capturing region from varying directions, and distance information indicating a distance from a reference point to the foreground object, and obtains three-dimensional shape data indicating a foreground object three-dimensional shape based on the foreground information and the distance information. If the distance information is unobtainable by a first obtaining method, the information processing apparatus obtains the distance information by a second obtaining method, and at least one of the first and second obtaining methods uses at least part of the multiple image capturing devices as a stereo camera to obtain the distance information.