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公开(公告)号:US20190162885A1
公开(公告)日:2019-05-30
申请号:US15828038
申请日:2017-11-30
Applicant: QUALCOMM Incorporated
Inventor: James Nash , Kalin Atanassov , Hasib Siddiqui
IPC: G02B5/20
Abstract: Various embodiments are directed to an optical filter. The optical filter may include a plurality of regions. The plurality of regions may include a first region transmissive of light within a first wavelength range and a second region transmissive of light within a second wavelength range.
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公开(公告)号:US10242458B2
公开(公告)日:2019-03-26
申请号:US15493859
申请日:2017-04-21
Applicant: QUALCOMM Incorporated
Inventor: James Nash , Kalin Atanassov , Albrecht Johannes Lindner
Abstract: Systems and methods configured to generate virtual gimbal information for range images produced from 3D depth scans are described. In operation according to embodiments, known and advantageous spatial geometries of features of a scanned volume are exploited to generate virtual gimbal information for a pose. The virtual gimbal information of embodiments may be used to align a range image of the pose with one or more other range images for the scanned volume, such as for combining the range images for use in indoor mapping, gesture recognition, object scanning, etc. Implementations of range image registration using virtual gimbal information provide a realtime one shot direct pose estimator by detecting and estimating the normal vectors for surfaces of features between successive scans which effectively imparts a coordinate system for each scan with an orthogonal set of gimbal axes and defines the relative camera attitude.
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公开(公告)号:US20190078937A1
公开(公告)日:2019-03-14
申请号:US15703947
申请日:2017-09-13
Applicant: QUALCOMM Incorporated
Inventor: Hasib Siddiqui , Magdi Mohamed , James Nash , Kalin Atanassov
CPC classification number: G01J3/51 , G01J3/0208 , G01J3/0216 , G01J3/28 , G01J3/2823 , G01J3/524 , G01J2003/2806 , G01J2003/2826 , G06T3/4015 , H04N9/04515 , H04N9/04553 , H04N9/73
Abstract: Systems and methods are disclosed for processing spectral imaging (SI) data. A training operation estimates reconstruction matrices based on a spectral mosaic of an SI sensor, generates directionally interpolated maximum a-priori (MAP) estimations of image data based on the estimated reconstruction matrices. The training operation may determine filter coefficients for each of a number of cross-band interpolation filters based at least in part on the MAP estimations, and may determine edge classification factors based at least in part on the determined filter coefficients. The training operation may configure a cross-band interpolation circuit based at least in part on the determined filter coefficients and the determined edge classification factors. The configured cross-band interpolation circuit captures mosaic data using the SI sensor, and recovers full-resolution spectral data from the captured mosaic data.
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公开(公告)号:US10732285B2
公开(公告)日:2020-08-04
申请号:US16143070
申请日:2018-09-26
Applicant: QUALCOMM Incorporated
Inventor: Kalin Atanassov , Sergiu Goma , James Nash
Abstract: Aspects of the present disclosure relate to systems and methods for structured light (SL) depth systems. A depth finding system includes one or more processors and a memory, coupled to the one or more processors, includes instructions that, when executed by the one or more processors, cause the system to capture a plurality of frames based on transmitted pulses of light, where each of the frames is captured by scanning a sensor array after a respective one of the pulses has been transmitted, and generate an image depicting reflections of the transmitted light by combining the plurality of frames, where each of the frames provides a different portion of the image.
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15.
公开(公告)号:US20190340776A1
公开(公告)日:2019-11-07
申请号:US16107901
申请日:2018-08-21
Applicant: QUALCOMM Incorporated
Inventor: James Nash , Hasib Siddiqui , Kalin Atanassov , Justin Cheng
Abstract: Aspects of the present disclosure relate to systems and methods for structured light (SL) depth systems. An example method for determining a depth map post-processing filter may include receiving an image including a scene superimposed on a codeword pattern, segmenting the image into a plurality of tiles, estimating a codeword for each tile of the plurality of tiles, estimating a mean scene value for each tile based at least in part on the respective estimated codeword, and determining the depth map post-processing filter based at least in part on the estimated codewords and the mean scene values.
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