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US Patent 11983893 Systems and methods for hybrid depth regularization

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119838930
Patent Inventor Names
Ankit Jain0
Priyam Chatterjee0
Kartik Venkataraman0
Date of Patent
May 14, 2024
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Patent Application Number
181538560
Date Filed
January 12, 2023
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Patent Citations
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US Patent 9264610 Capturing and processing of images including occlusions captured by heterogeneous camera arrays
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US Patent 9516222 Array cameras incorporating monolithic array camera modules with high MTF lens stacks for capture of images used in super-resolution processing
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US Patent 9519972 Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
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US Patent 9521319 Array cameras and array camera modules including spectral filters disposed outside of a constituent image sensor
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US Patent 9521416 Systems and methods for image data compression
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US Patent 9536166 Systems and methods for decoding image files containing depth maps stored as metadata
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US Patent 9576369 Systems and methods for generating depth maps using images captured by camera arrays incorporating cameras having different fields of view
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US Patent 9578237 Array cameras incorporating optics with modulation transfer functions greater than sensor Nyquist frequency for capture of images used in super-resolution processing
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Patent Primary Examiner
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Daniel G Mariam
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CPC Code
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H04N 2013/0081
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G06T 7/11
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G06T 7/13
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G06T 7/44
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G06T 7/136
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G06T 7/194
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G06T 7/593
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G06T 2207/10012
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Patent abstract

Systems and methods for hybrid depth regularization in accordance with various embodiments of the invention are disclosed. In one embodiment of the invention, a depth sensing system comprises a plurality of cameras; a processor; and a memory containing an image processing application. The image processing application may direct the processor to obtain image data for a plurality of images from multiple viewpoints, the image data comprising a reference image and at least one alternate view image; generate a raw depth map using a first depth estimation process, and a confidence map; and generate a regularized depth map. The regularized depth map may be generated by computing a secondary depth map using a second different depth estimation process; and computing a composite depth map by selecting depth estimates from the raw depth map and the secondary depth map based on the confidence map.

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