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公开(公告)号：US20160352993A1
公开(公告)日：2016-12-01
申请号：US14724597
申请日：2015-05-28
Applicant: Intel Corporation
Inventor： Timo Gerasimow , Tapio Finnila , Lasse Lampinen , Petteri Kyronlahti
CPC classification number: H04N5/2354 , G03B7/17 , G03B15/05 , G03B2215/0592 , H04N5/2256 , H04N5/2351 , H04N5/351
Abstract: Techniques related to spatially adjustable flash exposures for imaging devices are discussed. Such techniques may include adjusting region transparencies of a flash filter panel adjacent to a flash module of the image device based on flash filter panel control parameters and exposing the scene by providing a flash light from the flash module and through the flash filter control panel.
Abstract translation: 讨论了与成像装置的空间可调闪光曝光有关的技术。 这样的技术可以包括基于闪光过滤器面板控制参数来调整与图像设备的闪光模块相邻的闪光过滤器面板的区域透明度，并通过从闪光模块提供闪光灯和通过闪光过滤器控制面板来曝光场景。
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公开(公告)号：US20230410266A1
公开(公告)日：2023-12-21
申请号：US18200998
申请日：2023-05-23
Applicant: Intel Corporation
Inventor： Furkan Isikdogan , Timo Gerasimow , Gilad Michael
IPC: G06T5/00 , G06T3/00 , G06T5/20 , G06T7/73 , G06V40/18 , G06F18/214 , G06F18/21 , G06V10/764 , G06V10/82 , G06V10/44 , G06V10/98
CPC classification number: G06T5/006 , G06T3/0093 , G06T5/20 , G06T7/73 , G06V40/193 , G06F18/214 , G06F18/217 , G06V10/764 , G06V10/82 , G06V10/454 , G06V10/98 , G06T2210/44 , G06T2207/30041
Abstract: An example apparatus for adjusting eye gaze in images one or more processors to execute instructions to bidirectionally train a neural network; access a target angle and an input image, the input image including an eye in a first position; generate a vector field with the neural network; and generate a gaze-adjusted image based on the vector field, the gaze-adjusted image including the eye in a second position.
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3.发明授权公开(公告)号：US10755425B2
公开(公告)日：2020-08-25
申请号：US16116318
申请日：2018-08-29
Applicant: Intel Corporation
Inventor： Jun Nishimura , Timo Gerasimow , Sushma Rao , Chyuan-Tyng Wu , Aleksandar Sutic , Gilad Michael
Abstract: A mechanism is described for facilitating automatic tuning of image signal processors using reference images in image processing environments, according to one embodiment. A method of embodiments, as described herein, includes one or more processors to: receive images associated with one or more scenes captured by one or more cameras; access tuning parameters associated with functionalities within an image signal processor (ISP) pipeline; generate reference images based on the tuning parameters, wherein a reference image is associated with an image for each functionality within the ISP pipeline; and automatically tune the ISP pipeline based on selection of one or more of the reference images for one or more of the images for one or more of the functionalities.
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Patent Agency Ranking
公开(公告)号：US09756256B2
公开(公告)日：2017-09-05
申请号：US14724597
申请日：2015-05-28
Applicant: Intel Corporation
Inventor： Timo Gerasimow , Tapio Finnila , Lasse Lampinen , Petteri Kyronlahti
CPC classification number: H04N5/2354 , G03B7/17 , G03B15/05 , G03B2215/0592 , H04N5/2256 , H04N5/2351 , H04N5/351
Abstract: Techniques related to spatially adjustable flash exposures for imaging devices are discussed. Such techniques may include adjusting region transparencies of a flash filter panel adjacent to a flash module of the image device based on flash filter panel control parameters and exposing the scene by providing a flash light from the flash module and through the flash filter control panel.
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公开(公告)号：US11699217B2
公开(公告)日：2023-07-11
申请号：US17242849
申请日：2021-04-28
Applicant: Intel Corporation
Inventor： Furkan Isikdogan , Timo Gerasimow , Gilad Michael
IPC: G06T5/00 , G06V40/18 , G06T3/00 , G06T5/20 , G06T7/73 , G06F18/214 , G06F18/21 , G06V10/764 , G06V10/82 , G06V10/44 , G06V10/98
CPC classification number: G06T5/006 , G06F18/214 , G06F18/217 , G06T3/0093 , G06T5/20 , G06T7/73 , G06V10/454 , G06V10/764 , G06V10/82 , G06V10/98 , G06V40/193 , G06T2207/30041 , G06T2210/44
Abstract: An example apparatus for adjusting eye gaze in images one or more processors to execute instructions to bidirectionally train a neural network; access a target angle and an input image, the input image including an eye in a first position; generate a vector field with the neural network; and generate a gaze-adjusted image based on the vector field, the gaze-adjusted image including the eye in a second position.
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公开(公告)号：US20210248714A1
公开(公告)日：2021-08-12
申请号：US17242849
申请日：2021-04-28
Applicant: Intel Corporation
Inventor： Furkan Isikdogan , Timo Gerasimow , Gilad Michael
Abstract: An example apparatus for adjusting eye gaze in images one or more processors to execute instructions to bidirectionally train a neural network; access a target angle and an input image, the input image including an eye in a first position; generate a vector field with the neural network; and generate a gaze-adjusted image based on the vector field, the gaze-adjusted image including the eye in a second position.
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公开(公告)号：US11024002B2
公开(公告)日：2021-06-01
申请号：US16412994
申请日：2019-05-15
Applicant: INTEL CORPORATION
Inventor： Furkan Isikdogan , Timo Gerasimow , Gilad Michael
Abstract: An example apparatus for correcting gaze in images includes an image receiver to receive an image comprising an eye and a target angle set to a center. The apparatus also includes a bidirectionally trained convolutional neural network (CNN) to receive the image and the target angle from the image receiver and generate a vector field and a brightness map based on the image and the target angle. The apparatus further includes an image corrector to generate a gaze corrected image based on the vector field and the brightness map.
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公开(公告)号：US20190266701A1
公开(公告)日：2019-08-29
申请号：US16412994
申请日：2019-05-15
Applicant: INTEL CORPORATION
Inventor： Furkan Isikdogan , Timo Gerasimow , Gilad Michael
Abstract: An example apparatus for correcting gaze in images includes an image receiver to receive an image comprising an eye and a target angle set to a center. The apparatus also includes a bidirectionally trained convolutional neural network (CNN) to receive the image and the target angle from the image receiver and generate a vector field and a brightness map based on the image and the target angle. The apparatus further includes an image corrector to generate a gaze corrected image based on the vector field and the brightness map.
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