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US Patent 10482618 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
0
Patent Number
104826180
Patent Inventor Names
Ankit Jain0
Kartik Venkataraman0
Priyam Chatterjee0
Date of Patent
November 19, 2019
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Patent Application Number
156822950
Date Filed
August 21, 2017
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Patent Citations Received
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US Patent 12069227 Multi-modal and multi-spectral stereo camera arrays
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US Patent 11321937 Visual localization method and apparatus based on semantic error image
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US Patent 11425324 Time-of-flight down-up sampling using a compressed guide
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US Patent 11842495 Systems and methods for transparent object segmentation using polarization cues
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US Patent 11982775 Systems and methods for augmentation of sensor systems and imaging systems with polarization
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US Patent 11983893 Systems and methods for hybrid depth regularization
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US Patent 11494926 Method for performing hybrid depth detection with aid of adaptive projector, and associated apparatus
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US Patent 11525906 Systems and methods for augmentation of sensor systems and imaging systems with polarization
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Patent Primary Examiner
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Daniel G Mariam
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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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