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1. 发明授权

US08197070B2 Color-based feature identification 有权
标题翻译：基于颜色的特征识别
公开(公告)号：US08197070B2
公开(公告)日：2012-06-12
申请号：US12329099
申请日：2008-12-05
申请人： Kar-Han Tan , Jing Xiao , Anoop K. Bhattacharjya
发明人： Kar-Han Tan , Jing Xiao , Anoop K. Bhattacharjya
IPC分类号： G03B21/00
CPC分类号： G03B21/26 , G01B11/25 , G01B11/2509 , G06T7/80 , G06T2207/10024 , H04N9/3182 , H04N9/3185 , H04N9/3194 , H04N17/002
摘要： Disclosed are embodiments of systems and methods for identifying features using color information in an image. The image may be formed from one or more display images comprising color information and features or feature components. Because color information may be used to identify features, more than one feature or feature component may be displayed in a display image. Because a plurality of features may be identified in a calibration image, an image system, such as a projector-camera system, can reduce the number of display images needed to calibrate the system.
摘要翻译：公开了用于使用图像中的颜色信息来识别特征的系统和方法的实施例。图像可以由包括颜色信息和特征或特征组件的一个或多个显示图像形成。由于可以使用颜色信息来识别特征，所以可以在显示图像中显示多于一个的特征或特征成分。由于可以在校准图像中识别多个特征，诸如投影仪 - 照相机系统的图像系统可以减少校准系统所需的显示图像的数量。

2. 发明授权

US07991229B2 Reducing compression artifacts in multi-layer images 有权
标题翻译：减少多层图像中的压缩伪影
公开(公告)号：US07991229B2
公开(公告)日：2011-08-02
申请号：US11846343
申请日：2007-08-28
申请人： Jing Xiao , Anoop K. Bhattacharjya
发明人： Jing Xiao , Anoop K. Bhattacharjya
IPC分类号： G06K9/34 , G06K9/46 , G06K9/42
CPC分类号： H04N1/41 , H04N1/40062 , H04N1/64
摘要： Disclosed are embodiments of systems, devices, and methods to reduce compression artifacts in multi-layer images. Pixel dilation operations, such as morphological dilations, are performed to identify unlabeled pixels at boundaries between layers, and the colors of those pixels are adjusted to mitigate formation of artifacts during layer compression.
摘要翻译：公开了减少多层图像中的压缩伪影的系统，装置和方法的实施例。执行诸如形态学扩张的像素扩张操作以识别层之间边界处的未标记像素，并且调整那些像素的颜色以减轻层压缩期间的伪像的形成。

3. 发明授权

US08194097B2 Virtual masking using rigid parametric modeling 有权
标题翻译：使用刚性参数建模的虚拟屏蔽
公开(公告)号：US08194097B2
公开(公告)日：2012-06-05
申请号：US12333623
申请日：2008-12-12
申请人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
发明人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
IPC分类号： G09G5/00 , G06T15/00 , G06K9/00
CPC分类号： G06K9/00261 , G06T11/00 , H04N7/147
摘要： Disclosed are systems and methods for masking at least a portion of one image with another image. Aspects of the present invention facilitate the placing of a virtual mask onto an item in an image even if that items moves in subsequent images, such as between different image frames in a video.
摘要翻译：公开了用于用另一图像掩蔽一个图像的至少一部分的系统和方法。即使该项目在诸如视频中的不同图像帧之间的后续图像中移动，本发明的方面有助于将虚拟掩模放置在图像中的项目上。

4. 发明申请

US20100014768A1 Model-Based Error Resilience in Data Communication 失效
标题翻译：基于模型的数据通信中的错误恢复能力
公开(公告)号：US20100014768A1
公开(公告)日：2010-01-21
申请号：US12174513
申请日：2008-07-16
申请人： Anoop K. Bhattacharjya , Jing Xiao
发明人： Anoop K. Bhattacharjya , Jing Xiao
IPC分类号： G06K9/40
CPC分类号： G06K9/00241 , G06K9/00315 , G06T5/005 , G06T7/248 , G06T9/001 , G06T2207/10016 , G06T2207/30201 , H04N19/89
摘要： Disclosed are embodiments of systems and methods to use a model-based technique for image error recovery in data communication. A low-dimensional representation is constructed of an image that contains errors. A manifold comprising image representations and a statistical model of the manifold are used to correct the errors in the image.
摘要翻译：公开了在数据通信中使用基于模型的图像错误恢复技术的系统和方法的实施例。低维表示由包含错误的图像构成。使用包括图像表示和歧管的统计模型的歧管来校正图像中的误差。

5. 发明授权

US07901093B2 Modeling light transport in complex display systems 有权
标题翻译：在复杂的显示系统中建模光传输
公开(公告)号：US07901093B2
公开(公告)日：2011-03-08
申请号：US11623016
申请日：2007-01-12
申请人： Kar-Han Tan , Jing Xiao , Anoop K. Bhattacharjya
发明人： Kar-Han Tan , Jing Xiao , Anoop K. Bhattacharjya
IPC分类号： G03B21/14
CPC分类号： G03B21/26 , H04N9/3185 , H04N9/3194 , H04N17/002
摘要： An image created by a first projector is recreated using a second projector by relating the two projectors to a common point of view, preferably as viewed from a camera. A first transport matrix T1 is captured to relate the first projector to the camera. A second transport matrix T2 is then capture to relate the second projector to the camera. To have a first image p1, as projected by the first projector, reproduced by the second projector, the second projector projects a distorted image defined as (T2−1)(T1)p1. The inverse of T2, as used in this equation is an estimation defined by first creating an intermediate matrix {hacek over (T)} of equal size as T2. If a column in T2 is denoted as Tr and a corresponding column in {hacek over (T)} is denoted as {hacek over (T)}r, then the construction and population of {hacek over (T)} is defined as {hacek over (T)}r=Tr/(∥Tr∥)2, and the inverse of T2 is estimated as the transpose of {hacek over (T)}.
摘要翻译：使用第二投影仪重新创建由第一投影仪创建的图像，该两个投影仪优选地从照相机观察到将两个投影仪相关联到共同的观点。捕获第一传输矩阵T1以将第一投影仪与照相机相关联。然后捕获第二传输矩阵T2以将第二投影仪与相机相关联。为了具有由第二投影仪再现的由第一投影仪投影的第一图像p1，第二投影仪投影定义为（T2-1）（T1）p1的失真图像。如在该等式中使用的T2的倒数是通过首先创建等于T2的中间矩阵{hacek over（T）}定义的估计。如果T2中的列被表示为Tr，并且{hacek over（T）}中的相应列被表示为{hacek over（T）} r，则{hacek over（T）}的构造和总体被定义为{ （T）} r = Tr /（∥Tr‖）2，并且T2的倒数被估计为{hacek over（T）}的转置。

6. 发明申请

US20100150406A1 Virtual Masking Using Rigid Parametric Modeling 有权
标题翻译：虚拟掩蔽使用刚性参数建模
公开(公告)号：US20100150406A1
公开(公告)日：2010-06-17
申请号：US12333623
申请日：2008-12-12
申请人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
发明人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
IPC分类号： G06K9/00 , G06K9/36
CPC分类号： G06K9/00261 , G06T11/00 , H04N7/147
摘要： Disclosed are systems and methods for masking at least a portion of one image with another image. Aspects of the present invention facilitate the placing of a virtual mask onto an item in an image even if that items moves in subsequent images, such as between different image frames in a video.
摘要翻译：公开了用于用另一图像掩蔽一个图像的至少一部分的系统和方法。即使该项目在诸如视频中的不同图像帧之间的后续图像中移动，本发明的方面有助于将虚拟掩模放置在图像中的项目上。

7. 发明授权

US08099442B2 Robust generative features 有权
标题翻译：强大的生成功能
公开(公告)号：US08099442B2
公开(公告)日：2012-01-17
申请号：US12257849
申请日：2008-10-24
申请人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
发明人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
IPC分类号： G06F17/30
CPC分类号： G06N99/005
摘要： Disclosed are systems and methods for developing robust features for representing data. In embodiments, a linear generative model is computed using data. In embodiments, based upon a robustness measure, a set of features is selected. In embodiments, the set of features may be evaluated to gauge the capacity of the set of features to represent the data. Responsive to the set of features not satisfying an evaluation criterion or criteria, the set of features may be refined until the selected set of features complies with the evaluation criterion or criteria.
摘要翻译：公开了用于开发用于表示数据的鲁棒特征的系统和方法。在实施例中，使用数据计算线性生成模型。在实施例中，基于鲁棒性度量，选择一组特征。在实施例中，可以评估该特征集以评估该组特征以表示数据的容量。响应于不满足评估标准或标准的一组特征，可以改进特征集合，直到所选择的特征集合符合评估标准或标准。

8. 发明申请

US20100106998A1 Robust Generative Features 有权
标题翻译：强大的生成特征
公开(公告)号：US20100106998A1
公开(公告)日：2010-04-29
申请号：US12257849
申请日：2008-10-24
申请人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
发明人： Jing Xiao , Kar-Han Tan , Anoop K. Bhattacharjya
IPC分类号： G06F17/30
CPC分类号： G06N99/005
摘要： Disclosed are systems and methods for developing robust features for representing data. In embodiments, a linear generative model is computed using data. In embodiments, based upon a robustness measure, a set of features is selected. In embodiments, the set of features may be evaluated to gauge the capacity of the set of features to represent the data. Responsive to the set of features not satisfying an evaluation criterion or criteria, the set of features may be refined until the selected set of features complies with the evaluation criterion or criteria.
摘要翻译：公开了用于开发用于表示数据的鲁棒特征的系统和方法。在实施例中，使用数据计算线性生成模型。在实施例中，基于鲁棒性度量，选择一组特征。在实施例中，可以评估该特征集以评估该组特征以表示数据的容量。响应于不满足评估标准或标准的一组特征，可以改进特征集合，直到所选择的特征集合符合评估标准或标准。

9. 发明申请

US20090060354A1 Reducing Compression Artifacts in Multi-Layer Images 有权
标题翻译：减少多层图像中的压缩伪像
公开(公告)号：US20090060354A1
公开(公告)日：2009-03-05
申请号：US11846343
申请日：2007-08-28
申请人： Jing Xiao , Anoop K. Bhattacharjya
发明人： Jing Xiao , Anoop K. Bhattacharjya
IPC分类号： G06K9/36
CPC分类号： H04N1/41 , H04N1/40062 , H04N1/64
摘要： Disclosed are embodiments of systems, devices, and methods to reduce compression artifacts in multi-layer images. Pixel dilation operations, such as morphological dilations, are performed to identify unlabeled pixels at boundaries between layers, and the colors of those pixels are adjusted to mitigate formation of artifacts during layer compression.
摘要翻译：公开了减少多层图像中的压缩伪影的系统，装置和方法的实施例。执行诸如形态学扩张的像素扩张操作以识别层之间边界处的未标记像素，并且调整那些像素的颜色以减轻层压缩期间的伪像的形成。

10. 发明申请

US20090046931A1 Segmentation-based image labeling 有权
标题翻译：基于分割的图像标签
公开(公告)号：US20090046931A1
公开(公告)日：2009-02-19
申请号：US11891781
申请日：2007-08-13
申请人： Jing Xiao , Anoop K. Bhattacharjya
发明人： Jing Xiao , Anoop K. Bhattacharjya
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06K2209/01 , G06T7/11 , G06T7/194 , G06T2207/30176
摘要： Disclosed are embodiments of systems and methods for segmenting an image into at least two layers, a foreground and a background layer. An embodiment of the present invention includes rough labeling or segmenting at least a portion of the image into foreground and background pixels. The rough labeled pixels may be refined by using local classifications. In embodiments, additional processes may be performed on the image including, but not limited to, filtering, image enhancing, shape refining, image compression, etc.
摘要翻译：公开了用于将图像分割成至少两个层，前景和背景层的系统和方法的实施例。本发明的实施例包括将图像的至少一部分粗略标记或分割成前景和背景像素。可以通过使用本地分类来改进粗略标记的像素。在实施例中，可以对图像执行附加处理，包括但不限于过滤图像增强，形状精炼，图像压缩等。

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