OBJECT RECONSTRUCTION WITH NEUROMORPHIC SENSORS

    公开(公告)号:US20240365014A1

    公开(公告)日:2024-10-31

    申请号:US18138976

    申请日:2023-04-25

    CPC classification number: H04N23/95 H04N23/84 H04N25/47

    Abstract: Systems and methods are provided for performing image processing. An exemplary method includes: receiving neuromorphic camera data from at least one neuromorphic camera; producing, using the neuromorphic camera data, a plurality of unaligned event data, where the unaligned event data are unaligned in time; aligning the unaligned event data in time producing aligned event data; generating, using a model and the aligned event data, a plurality of aligned event volumes; and aggregating the aligned event volumes to produce an image.

    Object reconstruction with neuromorphic sensors

    公开(公告)号:US12212858B2

    公开(公告)日:2025-01-28

    申请号:US18138976

    申请日:2023-04-25

    Abstract: Systems and methods are provided for performing image processing. An exemplary method includes: receiving neuromorphic camera data from at least one neuromorphic camera; producing, using the neuromorphic camera data, a plurality of unaligned event data, where the unaligned event data are unaligned in time; aligning the unaligned event data in time producing aligned event data; generating, using a model and the aligned event data, a plurality of aligned event volumes; and aggregating the aligned event volumes to produce an image.

    NEUROMORPHIC SENSOR-BASED VIRTUAL SENSOR
    3.
    发明公开

    公开(公告)号:US20240357245A1

    公开(公告)日:2024-10-24

    申请号:US18640778

    申请日:2024-04-19

    CPC classification number: H04N23/951 G06T3/4046 G06T3/4053

    Abstract: Embodiments regard implementing operations that provide a virtual sensor. A method includes receiving, from a neuromorphic sensor, a time series of delta images, receiving auxiliary data indicating (i) an orientation, location, direction, or speed of the neuromorphic sensor, or (ii) metadata of the neuromorphic sensor, the auxiliary data associated with about a same time as the time series of images, operating, based on an image of the time series of delta images and auxiliary data of the auxiliary data associated with the image as occurring at about a same time, a first machine learning (ML) model resulting in a low-resolution image, and operating, based on the low-resolution image, a second ML model resulting in a high-resolution image, the high-resolution image of a type different than that produced by the neuromorphic sensor.

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