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公开(公告)号:US09819929B2
公开(公告)日:2017-11-14
申请号:US15251578
申请日:2016-08-30
Applicant: INTEL CORPORATION
Inventor: Ron Kimmel , Barak Freedman , Alex Bronstein , Michael Bronstein , Sagi Ben Moshe
CPC classification number: H04N13/246 , G06T7/521 , G06T7/80 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N5/357 , H04N13/167 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/296
Abstract: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.
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公开(公告)号:US20170310947A1
公开(公告)日:2017-10-26
申请号:US15593313
申请日:2017-05-11
Applicant: INTEL CORPORATION
Inventor: Ron Kimmel , Barak Freedman , Alex Bronstein , Michael Bronstein , Sagi Ben Moshe
CPC classification number: H04N13/246 , G06T7/521 , G06T7/80 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N5/357 , H04N13/167 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/296
Abstract: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.
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公开(公告)号:US09794545B2
公开(公告)日:2017-10-17
申请号:US14865211
申请日:2015-09-25
Applicant: Intel Corporation
Inventor: Alex Bronstein , Aviad Zabatani , Ron Kimmel , Michael Bronstein , Erez Sperling , Vitaly Surazhsky
CPC classification number: H04N13/246 , G01B11/2504 , G01B11/2545 , G06T7/521 , G06T7/529 , H04N13/111 , H04N13/243 , H04N13/25 , H04N13/254
Abstract: A method and apparatus for performing a single view depth and texture calibration are described. In one embodiment, the apparatus comprises a calibration unit operable to perform a single view calibration process using a captured single view a target having a plurality of plane geometries having detectable features and being at a single orientation and to generate calibration parameters to calibrate one or more of the projector and multiple cameras using the single view of the target.
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公开(公告)号:US20170131090A1
公开(公告)日:2017-05-11
申请号:US14934599
申请日:2015-11-06
Applicant: Intel Corporation
Inventor: Alexander Bronstein , Aviad Zabatani , Ron Kimmel , Michael Bronstein , Erez Sperling , Vitaly Surazhsky
CPC classification number: G01B11/22 , H04N5/2226 , H04N5/33 , H04N13/254 , H04N13/257 , H04N2013/0077 , H04N2013/0081
Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing maximum likelihood image binarization in a coded light range camera. For instance, a depth camera is described having therein a projector to project a collection of planes, each at a different angle of projection, onto a scene via a plurality of coded pattern images, each of the coded pattern images having encoded therein via a plurality of stripes, the angle of projection for the plane of projection within which the respective coded pattern image is projected; a detector to capture the plurality of coded pattern images from the scene; a processing component to output a bit value for each pixel in the captured plurality of coded pattern images based on the pixel captured and based further on a patch of neighboring pixels surrounding the pixel; a decoder to decode each of the plurality of coded pattern images based on the bit values output by the processing component to determine the angle of projection for the corresponding plane of projection; and a triangulator to determine a position of an object in the scene based on an intersection of the determined angle of projection for the corresponding plane of projection with a geometric ray originating from the detector that detected the plurality of the coded pattern images. Other related embodiments are disclosed.
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公开(公告)号:US20170091917A1
公开(公告)日:2017-03-30
申请号:US14865201
申请日:2015-09-25
Applicant: INTEL CORPORATION
Inventor: Michael Bronstein , Zachi Karni , Alex Bronstein , Ron Kimmel , Erez Sperling , Aviad Zabatani , Vitaly Surazhsky
CPC classification number: G06T5/20 , G06K9/40 , G06T5/002 , G06T2207/10028 , G06T2207/20028 , H04N13/204
Abstract: A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image.
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公开(公告)号:US20160373727A1
公开(公告)日:2016-12-22
申请号:US15251578
申请日:2016-08-30
Applicant: INTEL CORPORATION
Inventor: Ron Kimmel , Barak Freedman , Alex Bronstein , Michael Bronstein , Sagi Ben Moshe
CPC classification number: H04N13/246 , G06T7/521 , G06T7/80 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N5/357 , H04N13/167 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/296
Abstract: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.
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公开(公告)号:US20150172635A1
公开(公告)日:2015-06-18
申请号:US14104242
申请日:2013-12-12
Applicant: Intel Corporation
Inventor: Ron Kimmel , Barak Freedman , Alex Bronstein , Michael Bronstein , Sagi Ben Moshe
CPC classification number: H04N13/246 , G06T7/521 , G06T7/80 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N5/357 , H04N13/167 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/296
Abstract: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.
Abstract translation: 本公开的实施例提供了用于校正图像失真的光电三维物体采集组件的技术和配置。 在一个实例中,组件可以包括被配置成以确定的角度将光图案投射在物体上的第一装置; 第二装置,被配置为捕获被投射的光图案照射的对象的第一图像; 被配置为捕获所述对象的第二图像的第三设备; 以及控制器,其耦合到所述第一,第二和第三设备,并且被配置为根据从所述第一图像获得的对象的几何参数重建所述对象的图像,并且校正由所确定的角度的变化引起的所述重建图像中的失真 至少部分地基于对象的第一和第二图像。 可以描述和/或要求保护其他实施例。
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公开(公告)号:US20240283902A1
公开(公告)日:2024-08-22
申请号:US18636707
申请日:2024-04-16
Applicant: Intel Corporation
Inventor: Aviad Zabatani , Sagy Bareket , Ohad Menashe , Erez Sperling , Alex Bronstein , Michael Bronstein , Ron Kimmel , Vitaly Surazhsky
IPC: H04N13/246 , G06F3/01 , G06F3/0488 , G06T5/80 , G06T7/80 , H04N13/00 , H04N13/243 , H04N13/25 , H04N13/254
CPC classification number: H04N13/246 , G06F3/012 , G06F3/017 , G06F3/0488 , G06T5/80 , G06T7/85 , H04N13/243 , H04N13/25 , H04N13/254 , H04N2013/0081
Abstract: An example apparatus includes: a camera to record an image; memory to store instructions; and a processor in circuit with the memory, the processor to execute the instructions to: determine a depth based on: (a) the image and (b) a calibration parameter of the camera; and adjust the calibration parameter based on a temperature of the camera and the depth.
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公开(公告)号:US11422263B2
公开(公告)日:2022-08-23
申请号:US17133291
申请日:2020-12-23
Applicant: Intel Corporation
Inventor: Michael Bronstein , Ron Kimmel , Alex Bronstein , Ohad Menashe , Erez Sperling , Aviad Zabatani , Vitaly Surazhsky
IPC: G06F11/30 , G01S17/89 , G01S17/10 , G01S7/4861 , G01S7/487
Abstract: Example range estimation apparatus disclosed herein include a first signal processor to estimate a signal power parameter and a noise power parameter of a LIDAR system based on first data to be output from a light capturing device of the LIDAR system. Disclosed example range estimation apparatus also include a second signal processor to generate templates corresponding to different possible propagation delays associated with second data to be output from the light capturing device, the second data associated with a modulated light beam projected by the LIDAR system, the templates generated based on the signal power parameter and the noise power parameter, and the second data to have a higher sampling rate and a lower quantization resolution than the first data. In some examples, the second signal processor is also to determine, based on the templates, an estimated propagation delay associated with the second data.
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公开(公告)号:US20190049586A1
公开(公告)日:2019-02-14
申请号:US15937641
申请日:2018-03-27
Applicant: Intel Corporation
Inventor: Michael Bronstein , Ron Kimmel , Alex Bronstein , Ohad Menashe , Erez Sperling , Aviad Zabatani , Vitaly Surazhsky
Abstract: Example range estimation apparatus disclosed herein include a first signal processor to process first data output from a light capturing device of a LIDAR system to estimate signal and noise power parameters of the LIDAR system. Disclosed example range estimation apparatus also include a second signal processor to generate templates corresponding to different possible propagation delays associated with second data output from the light capturing device while a modulated light beam is projected by the LIDAR system, the templates generated based on the signal and noise power parameters, and the second data having a higher sampling rate and a lower quantization resolution than the first data. In some examples, the second signal processor also cross-correlates the templates with the second data to determine an estimated propagation delay associated with the second data, the estimated propagation delay convertible to an estimated range to an object that reflected the modulated light beam.
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