APPARATUS AND METHOD FOR PLANE DETECTION
    11.
    发明申请
    APPARATUS AND METHOD FOR PLANE DETECTION 有权
    用于平面检测的装置和方法

    公开(公告)号:US20130188861A1

    公开(公告)日:2013-07-25

    申请号:US13746828

    申请日:2013-01-22

    Abstract: A plane detection apparatus for detecting at least one plane model from an input depth image. The plane detection apparatus may include an image divider to divide the input depth image into a plurality of patches, a plane model estimator to calculate one or more plane models with respect to the plurality of patches including a first patch and a second patch, and a patch merger to iteratively merge patches having a plane model a similarity greater than or equal to a first threshold by comparing plane models of the plurality of patches. When a patch having the plane model similarity greater than or equal to the first threshold is absent, the plane detection apparatus may determine at least one final plane model with respect to the input depth image using previously merged patches.

    Abstract translation: 一种用于从输入深度图像检测至少一个平面模型的平面检测装置。 平面检测装置可以包括:图像分割器,用于将输入深度图像划分成多个斑块;平面模型估计器,用于计算相对于包括第一贴片和第二贴片的多个贴片的一个或多个平面模型,以及 补丁合并通过比较多个补丁的平面模型来迭代地合并具有大于或等于第一阈值的相似度的平面模型的补丁。 当不存在具有大于或等于第一阈值的平面模型相似度的补丁时,平面检测装置可以使用先前合并的补片来确定相对于输入深度图像的至少一个最终平面模型。

    METHOD AND APPARATUS FOR GENERATING DEPTH IMAGE

    公开(公告)号:US20250069246A1

    公开(公告)日:2025-02-27

    申请号:US18944857

    申请日:2024-11-12

    Abstract: A method and apparatus for generating a depth image are provided. The apparatus receives an input image, extracts a feature corresponding to the input image, generates features for each depth resolution by decoding the feature using decoders corresponding to different depth resolutions, estimates probability distributions for each depth resolution by progressively refining the features for each depth resolution, and generates a target depth image corresponding to the input image based on a final estimated probability distribution from among the probability distributions for each depth resolution.

    METHOD AND APPARATUS FOR FACIAL RECOGNITION
    16.
    发明申请
    METHOD AND APPARATUS FOR FACIAL RECOGNITION 审中-公开
    方法和装置用于真实识别

    公开(公告)号:US20160070952A1

    公开(公告)日:2016-03-10

    申请号:US14796224

    申请日:2015-07-10

    Abstract: At least one example embodiment discloses a facial recognition apparatus configured to obtain a two-dimensional (2D) input image including a face region of a user, detect a facial feature point from the 2D input image, adjust a pose of a stored three-dimensional (3D) facial model based on the detected facial feature point, generate a 2D projection image from the adjusted 3D facial model, perform facial recognition based on the face region in the 2D input image and a face region in the 2D projection image, and output a result of the facial recognition.

    Abstract translation: 至少一个示例性实施例公开了一种面部识别装置,被配置为获得包括用户的脸部区域的二维(2D)输入图像,从2D输入图像检测面部特征点,调整存储的三维 (3D)面部模型,基于检测到的面部特征点,从调整后的3D面部模型生成2D投影图像,基于2D输入图像中的面部区域和2D投影图像中的面部区域进行面部识别,并输出 是面部识别的结果。

    METHOD AND APPARATUS FOR DETECTING POINT OF INTEREST (POI) IN THREE-DIMENSIONAL (3D) POINT CLOUDS
    17.
    发明申请
    METHOD AND APPARATUS FOR DETECTING POINT OF INTEREST (POI) IN THREE-DIMENSIONAL (3D) POINT CLOUDS 有权
    用于检测三维(3D)点云中的兴趣点(POI)的方法和装置

    公开(公告)号:US20150123969A1

    公开(公告)日:2015-05-07

    申请号:US14324450

    申请日:2014-07-07

    CPC classification number: G06T7/33 G06T15/08 G06T2200/04 G06T2207/10028

    Abstract: A method and apparatus for detecting a three-dimensional (3D) point cloud point of interest (POI), the apparatus comprising a 3D point cloud data acquirer to acquire 3D point cloud data, a shape descriptor to generate a shape description vector describing a shape of a surface in which a pixel point of a 3D point cloud and a neighboring point of the pixel point are located, and a POI extractor to extract a POI based on the shape description vector is disclosed.

    Abstract translation: 一种用于检测三维(3D)点云点(POI)的方法和装置,该装置包括用于获取3D点云数据的3D点云数据获取器,用于生成描述形状的形状描述向量的形状描述符 公开了其中3D点云的像素点和像素点的相邻点所在的表面,以及基于形状描述向量提取POI的POI提取器。

    METHOD AND APPARATUS WITH SEMICONDUCTOR PATTERN CORRECTION

    公开(公告)号:US20240193415A1

    公开(公告)日:2024-06-13

    申请号:US18356612

    申请日:2023-07-21

    CPC classification number: G06N3/08

    Abstract: A processor-implemented method including generating a first corrected result image of a first desired pattern image using a backward correction neural network provided an input based on the first desired pattern image, the backward correction neural network performing a backward correction of a first process, generating a first simulated result image using a forward simulation neural network based on the first corrected result image, the forward simulation neural network performing a forward simulation of a performance of the first process, and updating the first corrected result image so that an error between the first desired pattern image and the first simulated result image is reduced.

    METHOD AND APPARATUS WITH IMAGE PROCESSING

    公开(公告)号:US20220188987A1

    公开(公告)日:2022-06-16

    申请号:US17383346

    申请日:2021-07-22

    Abstract: A method with image processing includes: generating a first surface normal image comprising surface normal vectors corresponding to pixels of a first depth image; and applying the first depth image and the first surface normal image to a first neural network, and acquiring a second depth image by changing the first depth image using the first neural network. The first neural network generates the second depth image to have an improved quality compared to the first depth image, based on an embedding vector that comprises a feature of the first depth image and a feature of the first surface normal image.

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