METHOD OF DETECTING AND CORRECTING MULTI-PATH INTERFERENCE COMPONENT IN TOF CAMERA

    公开(公告)号:US20240248182A1

    公开(公告)日:2024-07-25

    申请号:US18532875

    申请日:2023-12-07

    CPC classification number: G01S7/487 G01S7/4866 G01S17/894

    Abstract: Detecting a multi-path interference component in a time-of-flight (ToF) camera may be performed by generating a confidence map in which a distortion area attributable to a multi-path interference component included in a reflection modulation signals is specified, where the reflection modulation signals is generated when two modulation signals emitted from a light source to a subject return to the ToF camera after being reflected by the subject. Correcting the multi-path interference component corrects distortion attributable to a multi-path interference component, which may include correcting only the distortion area specified in the confidence map. Detecting the multi-path interference component in a ToF camera includes collecting the reflection modulation signal at a plurality of different times, calculating amplitudes and offsets of the collected reflection modulation signals, determining whether a multi-path interference component is included in the reflection modulation signal, and generating the confidence map.

    REAL-TIME OMNIDIRECTIONAL STEREO MATCHING METHOD USING MULTI-VIEW FISHEYE LENSES AND SYSTEM THEREOF

    公开(公告)号:US20220321859A1

    公开(公告)日:2022-10-06

    申请号:US17656049

    申请日:2022-03-23

    Abstract: Provided is a real-time omnidirectional stereo matching method in a camera system including a first pair of fisheye cameras including first and second fisheye cameras provided to perform shooting in opposite directions and a second pair of fisheye cameras including third and fourth fisheye cameras provided to perform shooting in opposite directions and in which the first pair of fisheye cameras and the second pair of fisheye cameras are vertically provided, including receiving fisheye images of a subject captured through the first to the fourth fisheye cameras; selecting one fisheye camera from among fisheye cameras for each pixel of a preset reference fisheye image among the fisheye images using a sweep volume for preset distance candidates; generating a distance map for all pixels using the reference fisheye image and a fisheye image of the one fisheye camera; and performing real-time stereo matching on the fisheye images using the distance map.

    3D OBJECT ACQUISITION METHOD AND APPARATUS USING ARTIFICIAL LIGHT PHOTOGRAPH

    公开(公告)号:US20210358211A1

    公开(公告)日:2021-11-18

    申请号:US16622234

    申请日:2019-10-07

    Abstract: Disclosed are herein a three-dimensional (3D) object acquisition method and an object acquisition apparatus using artificial light photographs. A 3D object acquisition method according to an embodiment of the present invention includes receiving a plurality of images of a 3D object photographed by a camera, reconstructing spatially-varying bidirectional reflectance distribution functions for the 3D object based on the plurality of images received, estimating shading normals for the 3D object based on the reconstructed spatially-varying bidirectional reflectance distribution functions, and acquiring 3D geometry for the 3D object based on the estimated shading normals.

    3D CALIBRATION METHOD AND APPARATUS FOR MULTI-VIEW PHASE SHIFT PROFILOMETRY

    公开(公告)号:US20250148706A1

    公开(公告)日:2025-05-08

    申请号:US18509771

    申请日:2023-11-15

    Abstract: Disclosed is a three-dimensional (3D) calibration method and device for multi-view phase shift profilometry. A 3D calibration method for multi-view phase shift profilometry, performed by a computer device, according to an example embodiment may include acquiring a phase that is data required for 3D reconstruction from parameters of at least one camera and a projector based on a phase measuring profilometry (PMP) method; defining a phase-to-depth function for each camera-and-projector combination and performing calibration of optimizing the parameters of the camera and the projector; and acquiring a point cloud that includes depth information using the optimized parameters of the camera and the projector.

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