Object Detection in Depth Images
    1.
    发明申请
    Object Detection in Depth Images 有权
    深度图像中的物体检测

    公开(公告)号:US20120269384A1

    公开(公告)日:2012-10-25

    申请号:US13089914

    申请日:2011-04-19

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00201

    摘要: A method for detecting an object in a depth image includes determining a detection window covering a region in the depth image, wherein a location of the detection window is based on a location of a candidate pixel in the depth image, wherein a size of the detection window is based on a depth value of the candidate pixel and a size of the object. A foreground region in the detection window is segmented based on the depth value of the candidate pixel and the size of the object. A feature vector is determined based on depth values of the pixels in the foreground region and the feature vector is classified to detect the object.

    摘要翻译: 用于检测深度图像中的对象的方法包括确定覆盖深度图像中的区域的检测窗口,其中检测窗口的位置基于深度图像中的候选像素的位置,其中检测的大小 窗口基于候选像素的深度值和对象的大小。 基于候选像素的深度值和对象的大小来分割检测窗口中的前景区域。 基于前景区域中的像素的深度值确定特征向量,并且将特征向量分类以检测对象。

    Object detection in depth images
    2.
    发明授权
    Object detection in depth images 有权
    深度图像中的物体检测

    公开(公告)号:US08406470B2

    公开(公告)日:2013-03-26

    申请号:US13089914

    申请日:2011-04-19

    IPC分类号: G06K9/00 G06K9/34

    CPC分类号: G06K9/00201

    摘要: A method for detecting an object in a depth image includes determining a detection window covering a region in the depth image, wherein a location of the detection window is based on a location of a candidate pixel in the depth image, wherein a size of the detection window is based on a depth value of the candidate pixel and a size of the object. A foreground region in the detection window is segmented based on the depth value of the candidate pixel and the size of the object. A feature vector is determined based on depth values of the pixels in the foreground region and the feature vector is classified to detect the object.

    摘要翻译: 用于检测深度图像中的对象的方法包括确定覆盖深度图像中的区域的检测窗口,其中检测窗口的位置基于深度图像中的候选像素的位置,其中检测的大小 窗口基于候选像素的深度值和对象的大小。 基于候选像素的深度值和对象的大小来分割检测窗口中的前景区域。 基于前景区域中的像素的深度值来确定特征向量,并且将特征向量分类以检测对象。

    Appearance and context based object classification in images
    3.
    发明授权
    Appearance and context based object classification in images 有权
    图像中的外观和上下文对象分类

    公开(公告)号:US08718362B2

    公开(公告)日:2014-05-06

    申请号:US13432998

    申请日:2012-03-28

    IPC分类号: G06K9/00

    CPC分类号: G06K9/4609 G06K9/72

    摘要: Objects in an image are classified by applying an appearance classifier to the image to determine candidates of the objects and statistics associated with the candidates, wherein the appearance classifier uses a set of windows, and the candidates are in selected windows. Then, a context classifier is applied only to the selected windows of the image to determine an identity, and location of objects in the image.

    摘要翻译: 通过对图像应用外观分类器来确定图像中的对象,以确定与候选者相关联的对象和统计信息的候选,其中,外观分类器使用一组窗口,并且候选者在所选择的窗口中。 然后,上下文分类器仅应用于图像的所选窗口以确定图像中的对象的身份和位置。

    Tracking objects in low frame rate videos
    4.
    发明申请
    Tracking objects in low frame rate videos 有权
    跟踪低帧率视频中的对象

    公开(公告)号:US20060222205A1

    公开(公告)日:2006-10-05

    申请号:US11097400

    申请日:2005-04-01

    IPC分类号: G06K9/00 H04N7/18

    摘要: A method tracks a moving object in a video acquired of a scene with a camera. A background model is maintained for each frame, and moving objects are detected according to changes in the background model. An object model is maintained for the moving object, and kernels are generated for the moving object. A mean-shift process is applied to each kernel in each frame to determine a likelihood of an estimated location of the moving object in each frame, according to the background models, the object model, and the mean shift kernels to track the moving object in the video.

    摘要翻译: 一种方法利用相机跟踪场景获取的视频中的移动物体。 为每个帧维护一个背景模型,并根据背景模型的变化来检测移动的对象。 为运动对象维护对象模型,并为运动对象生成内核。 平均移位过程被应用于每个帧中的每个内核,以根据背景模型,对象模型和用于跟踪移动对象的平均移位内核来确定每个帧中的运动对象的估计位置的可能性 视频。

    Voting-based pose estimation for 3D sensors
    5.
    发明授权
    Voting-based pose estimation for 3D sensors 有权
    基于投票的3D传感器姿态估计

    公开(公告)号:US08908913B2

    公开(公告)日:2014-12-09

    申请号:US13329493

    申请日:2011-12-19

    IPC分类号: G06K9/00

    摘要: A pose of an object is estimated by first defining a set of pair features as pairs of geometric primitives, wherein the geometric primitives include oriented surface points, oriented boundary points, and boundary line segments. Model pair features are determined based on the set of pair features for a model of the object. Scene pair features are determined based on the set of pair features from data acquired by a 3D sensor, and then the model pair features are matched with the scene pair features to estimate the pose of the object.

    摘要翻译: 通过首先将一组成对特征定义为几何图元的对来估计对象的姿态,其中几何基元包括定向表面点,定向边界点和边界线段。 基于对象模型的对特征集合确定模型对特征。 场景对特征是根据3D传感器获取的数据对的一组特征确定的,然后将模型对特征与场景对特征相匹配,以估计对象的姿态。

    Method and system for generating structured light with spatio-temporal patterns for 3D scene reconstruction
    6.
    发明授权
    Method and system for generating structured light with spatio-temporal patterns for 3D scene reconstruction 有权
    用于生成具有三维场景重建的时空模式的结构光的方法和系统

    公开(公告)号:US08805057B2

    公开(公告)日:2014-08-12

    申请号:US13562406

    申请日:2012-07-31

    IPC分类号: G06T7/00

    摘要: A structured light pattern including a set of patterns in a sequence is generated by initializing a base pattern. The base pattern includes a sequence of colored stripes such that each subsequence of the colored stripes is unique for a particular size of the subsequence. The base pattern is shifted hierarchically, spatially and temporally a predetermined number of times to generate the set of patterns, wherein each pattern is different spatially and temporally. A unique location of each pixel in a set of images acquired of a scene is determined, while projecting the set of patterns onto the scene, wherein there is one image for each pattern.

    摘要翻译: 通过初始化基本图案来生成包括序列中的一组图案的结构化光图案。 基本图案包括彩色条纹序列,使得彩色条纹的每个子序列对于子序列的特定大小是唯一的。 基本图案在空间和时间上以预定次数分层地移位,以产生一组图案,其中每个图案在空间和时间上是不同的。 确定在场景中获取的一组图像中的每个像素的独特位置,同时将该组图案投影到场景上,其中每个图案有一个图像。

    Method for constructing covariance matrices from data features
    7.
    发明授权
    Method for constructing covariance matrices from data features 有权
    从数据特征构造协方差矩阵的方法

    公开(公告)号:US07720289B2

    公开(公告)日:2010-05-18

    申请号:US11305427

    申请日:2005-12-14

    IPC分类号: G06K9/46 G06K9/00

    CPC分类号: G06K9/4642 G06K9/6215

    摘要: A method constructs descriptors for a set of data samples and determines a distance score between pairs of subsets selected from the set of data samples. A d-dimensional feature vector is extracted for each sample in each subset of samples. The feature vector includes indices to the corresponding sample and properties of the sample. The feature vectors of each subset of samples are combined into a d×d dimensional covariance matrix. The covariance matrix is a descriptor of the corresponding subset of samples. Then, a distance score is determined between the two subsets of samples using the descriptors to measure a similarity between the descriptors.

    摘要翻译: 一种方法构建一组数据样本的描述符,并确定从该组数据样本中选择的子集对之间的距离分数。 在每个样本子集中为每个样本提取d维特征向量。 特征向量包括相应样本的索引和样本的属性。 将样本的每个子集的特征向量组合成d×d维协方差矩阵。 协方差矩阵是相应样本子集的描述符。 然后,使用描述符在两个样本子集之间确定距离分数,以测量描述符之间的相似性。

    Tracking objects in low frame rate videos
    8.
    发明授权
    Tracking objects in low frame rate videos 有权
    跟踪低帧率视频中的对象

    公开(公告)号:US07418113B2

    公开(公告)日:2008-08-26

    申请号:US11097400

    申请日:2005-04-01

    IPC分类号: G06K9/00 H04N7/18

    摘要: A method tracks a moving object in a video acquired of a scene with a camera. A background model is maintained for each frame, and moving objects are detected according to changes in the background model. An object model is maintained for the moving object, and kernels are generated for the moving object. A mean-shift process is applied to each kernel in each frame to determine a likelihood of an estimated location of the moving object in each frame, according to the background models, the object model, and the mean shift kernels to track the moving object in the video.

    摘要翻译: 一种方法利用相机跟踪场景获取的视频中的移动物体。 为每个帧维护一个背景模型,并根据背景模型的变化来检测移动的对象。 为运动对象维护对象模型,并为运动对象生成内核。 平均移位过程被应用于每个帧中的每个内核,以根据背景模型,对象模型和用于跟踪移动对象的平均移位内核来确定每个帧中的运动对象的估计位置的可能性 视频。

    Upscaling natural images
    9.
    发明授权
    Upscaling natural images 失效
    升级自然图像

    公开(公告)号:US08620073B2

    公开(公告)日:2013-12-31

    申请号:US13405155

    申请日:2012-02-24

    IPC分类号: G06K9/00

    CPC分类号: G06T3/4053

    摘要: A natural input image is upscaled, first by interpolation. Second, edges in the interpolated image are sharpened by a lion-parametric patch transform. The result is decomposed into an edge layer and a detail layer. Only pixels in the detail layer enhanced, and the enhanced detail layer is merged with the edge layer to produce a high resolution version of the input image.

    摘要翻译: 自然输入图像放大,首先通过插值。 第二,插值图像中的边缘通过狮子参数补丁变换来锐化。 结果被分解成边缘层和细节层。 只有细节层中的像素增强,并且增强的细节层与边缘层合并以产生输入图像的高分辨率版本。

    Method for constructing covariance matrices from data features
    10.
    发明申请
    Method for constructing covariance matrices from data features 有权
    从数据特征构造协方差矩阵的方法

    公开(公告)号:US20070133878A1

    公开(公告)日:2007-06-14

    申请号:US11305427

    申请日:2005-12-14

    IPC分类号: G06K9/46

    CPC分类号: G06K9/4642 G06K9/6215

    摘要: A method constructs descriptors for a set of data samples and determines a distance score between pairs of subsets selected from the set of data samples. A d-dimensional feature vector is extracted for each sample in each subset of samples. The feature vector includes indices to the corresponding sample and properties of the sample. The feature vectors of each subset of samples are combined into a d×d dimensional covariance matrix. The covariance matrix is a descriptor of the corresponding subset of samples. Then, a distance score is determined between the two subsets of samples using the descriptors to measure a similarity between the descriptors.

    摘要翻译: 一种方法构建一组数据样本的描述符,并确定从该组数据样本中选择的子集对之间的距离分数。 在每个样本子集中为每个样本提取d维特征向量。 特征向量包括相应样本的索引和样本的属性。 样本的每个子集的特征向量被组合成dxd维协方差矩阵。 协方差矩阵是相应样本子集的描述符。 然后,使用描述符在两个样本子集之间确定距离分数,以测量描述符之间的相似性。