公开(公告)号：US20160210751A1

公开(公告)日：2016-07-21

申请号：US14994688

申请日：2016-01-13

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xuetao FENG ,  Biao Wang ,  Hao Feng ,  Hongwei Zhang ,  Changkyu CHOI ,  Jaejoon HAN ,  Jungbae KIM ,  Lujin GONG

IPC: G06T7/00 ,  G06K9/62 ,  G06T5/00 ,  G06K9/46 ,  G06K9/48

CPC classification number: G06K9/4604 ,  G06K9/00214 ,  G06K9/00288 ,  G06K9/4652 ,  G06K9/481 ,  G06K9/6201 ,  G06K9/6206 ,  G06T7/33 ,  G06T2200/04 ,  G06T2207/10028 ,  G06T2207/30201

Abstract: Provided is a 3D registration method and apparatus that may select a key point from among plural points included in 3D target data, based on a geometric feature or a color feature of each of the plural points, may adjust a position of the selected key point of the 3D target data based on features of, or a distance between, a key point of the 3D source data and the selected key point of the 3D target data, may calculate reliabilities of plural key points of the 3D source data based on respective features of at least one key point of the 3D target data determined to correspond to the plural key points of the 3D source data, and may generate 3D registration data by performing 3D registration between the 3D source data and the 3D target data based on the calculated reliabilities.

Abstract translation: 提供了一种可以基于多个点中的每一个的几何特征或颜色特征来选择包括在3D目标数据中的多个点中的关键点的3D登记方法和装置，可以调整所选择的关键点的位置 基于3D源数据的关键点和3D目标数据的所选关键点之间的特征或距离的3D目标数据可以基于3D源数据的各个特征来计算3D源数据的多个关键点的可靠性 所述3D目标数据的至少一个关键点被确定为对应于所述3D源数据的所述多个关键点，并且可以基于所计算的可靠性通过在所述3D源数据和所述3D目标数据之间执行3D注册来生成3D注册数据。

公开(公告)号：US20150123969A1

公开(公告)日：2015-05-07

申请号：US14324450

申请日：2014-07-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Shandong WANG ,  Lujin GONG ,  Hui ZHANG ,  Hyong Euk LEE ,  Seon Min RHEE

IPC: G06T7/00 ,  G06T15/08

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。

公开(公告)号：US20160210500A1

公开(公告)日：2016-07-21

申请号：US14996709

申请日：2016-01-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xuetao FENG ,  Hao FENG ,  Hongwei ZHANG ,  Lujin GONG ,  Changkyu CHOI ,  Jae-Joon HAN ,  Sungjoo SUH ,  Wonjun HWANG ,  Biao WANG

IPC: G06K9/00 ,  G06T19/20 ,  G06T15/10 ,  G06T7/00

CPC classification number: G06T15/10 ,  G06K9/00208 ,  G06K9/00281 ,  G06K9/6209 ,  G06K9/621 ,  G06T19/20

Abstract: A method and an apparatus for adjusting a pose in a face image are provided. The method of adjusting a pose in a face image involves detecting two-dimensional (2D) landmarks from a 2D face image, positioning three-dimensional (3D) landmarks in a 3D face model by determining an initial pose of the 3D face model based on the 2D landmarks, updating the 3D landmarks by iteratively adjusting a pose and a shape of the 3D face model, and adjusting a pose in the 2D face image based on the updated 3D landmarks.

Abstract translation: 提供了一种用于调整脸部图像中姿势的方法和装置。 调整脸部图像中的姿势的方法包括从2D面部图像检测二维（2D）界标，通过基于以下方式确定3D脸部模型的初始姿态来将三维（3D）界标定位在3D脸部模型中： 2D地标，通过迭代地调整3D脸部模型的姿态和形状来更新3D地标，以及基于更新的3D地标调整2D脸部图像中的姿势。

公开(公告)号：US20140307955A1

公开(公告)日：2014-10-16

申请号：US14249464

申请日：2014-04-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Rong LIU ,  Maolin CHEN ,  Fan ZHANG ,  Ji Yeun KIM ,  Lujin GONG ,  Xun SUN ,  Zhilan HU

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00362 ,  G06K9/4642

Abstract: An apparatus for detecting a body part from a user image may include an image acquirer to acquire a depth image, an extractor to extract the user image from a foreground of the acquired depth image, and a body part detector to detect the body part from the user image, using a classifier trained based on at least one of a single-user image sample and a multi-user image sample. The single-user image may be an image representing non-overlapping users, and the multi-user image may be an image representing overlapping users.

Abstract translation: 用于从用户图像检测身体部位的装置可以包括获取深度图像的图像获取器，从所获取的深度图像的前景提取用户图像的提取器，以及从身体部位检测器检测身体部位， 使用基于单用户图像样本和多用户图像样本中的至少一个训练的分类器的用户图像。 单用户图像可以是表示非重叠用户的图像，并且多用户图像可以是表示重叠用户的图像。