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51.发明授权公开(公告)号：US07098920B2
公开(公告)日：2006-08-29
申请号：US10900252
申请日：2004-07-27
CPC分类号： G06T13/40 , G06T15/04 , G06T17/10 , G06T17/20 , G06T17/205 , G06T2200/08 , Y10S345/956
摘要： The illustrated and described embodiments describe techniques for capturing data that describes 3-dimensional (3-D) aspects of a face, transforming facial motion from one individual to another in a realistic manner, and modeling skin reflectance.
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52.发明申请System and process for optimal texture map reconstruction from multiple views 有权用于从多个视图获得最佳纹理贴图重建的系统和过程公开(公告)号：US20050285872A1
公开(公告)日：2005-12-29
申请号：US11192639
申请日：2005-07-28
申请人： Lifeng Wang , Sing Bing Kang , Richard Szeliski , Heung-Yeung Shum , Baining Guo
发明人： Lifeng Wang , Sing Bing Kang , Richard Szeliski , Heung-Yeung Shum , Baining Guo
CPC分类号： G06T15/04
摘要： A system and process for reconstructing optimal texture maps from multiple views of a scene is described. In essence, this reconstruction is based on the optimal synthesis of textures from multiple sources. This is generally accomplished using basic image processing theory to derive the correct weights for blending the multiple views. Namely, the steps of reconstructing, warping, prefiltering, and resampling are followed in order to warp reference textures to a desired location, and to compute spatially-variant weights for optimal blending. These weights take into consideration the anisotropy in the texture projection and changes in sampling frequency due to foreshortening. The weights are combined and the computation of the optimal texture is treated as a restoration problem, which involves solving a linear system of equations. This approach can be incorporated in a variety of applications, such as texturing of 3D models, analysis by synthesis methods, super-resolution techniques, and view-dependent texture mapping.
摘要翻译： 描述用于从场景的多个视图重建最佳纹理图的系统和过程。 实质上，这种重建是基于来自多个源的纹理的最佳合成。 这通常使用基本图像处理理论来实现，以导出用于混合多个视图的正确权重。 即，遵循重构，翘曲，预过滤和重采样的步骤，以便将参考纹理扭曲到期望的位置，并计算用于最佳混合的空间变体权重。 这些权重考虑到纹理投影中的各向异性和由于缩短引起的采样频率的变化。 权重相结合，最优纹理的计算被视为恢复问题，其涉及求解线性方程组。 这种方法可以并入各种应用中，例如3D模型的纹理化，通过合成方法的分析，超分辨率技术和视图相关的纹理映射。
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公开(公告)号：US6016148A
公开(公告)日：2000-01-18
申请号：US870480
申请日：1997-06-06
申请人： Sing Bing Kang , Keith Waters
发明人： Sing Bing Kang , Keith Waters
CPC分类号： G06T15/04
摘要： A method for mapping a digitized image of a face to a wireframe is provided. The wireframe is composed of a plurality of nodes connected by lines. The method includes the steps of detecting a plurality of facial features from the plurality of pixels of a reference facial image. Corresponding facial landmark nodes in the wireframe topology are determined. A transform between the facial features and the landmark nodes is computed to map the wireframe topology to reference facial image. The reference facial image and a target facial image are cropped using a bounding box. The cropped reference facial image is registered with the cropped target facial image to determine a displacement field. The displacement field is applied to the mapped wireframe topology for the reference facial image to map the target facial image to the wireframe topology.
摘要翻译： 提供了将面部的数字化图像映射到线框的方法。 线框由通过线连接的多个节点组成。 该方法包括从参考面部图像的多个像素中检测多个面部特征的步骤。 确定线框拓扑中的相应的面部标记节点。 计算面部特征和地标节点之间的变换，以将线框拓扑映射到参考面部图像。 使用边界框裁剪参考面部图像和目标面部图像。 裁剪的参考面部图像与裁剪的目标面部图像一起登记，以确定位移场。 将位移场应用于参考面部图像的映射线框拓扑，以将目标面部图像映射到线框拓扑。
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公开(公告)号：US09881354B2
公开(公告)日：2018-01-30
申请号：US13421307
申请日：2012-03-15
CPC分类号： G06T3/4038 , G06T5/005
摘要： Described is a technology by which an image such as a stitched panorama is automatically cropped based upon predicted quality data with respect to filling missing pixels. The image may be completed, including by completing only those missing pixels that remain after cropping. Predicting quality data may be based on using restricted search spaces corresponding to the missing pixels. The crop is computed based upon the quality data, in which the crop is biased towards including original pixels and excluding predicted low quality pixels. Missing pixels are completed by using restricted search spaces to find replacement values for the missing pixels, and may use histogram matching for texture synthesis.
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公开(公告)号：US08750645B2
公开(公告)日：2014-06-10
申请号：US12634699
申请日：2009-12-10
CPC分类号： H04N5/23232 , G06T3/4038 , H04N5/23267 , H04N5/262
摘要： A method described herein includes acts of receiving a sequence of images of a scene and receiving an indication of a reference image in the sequence of images. The method further includes an act of automatically assigning one or more weights independently to each pixel in each image in the sequence of images of the scene. Additionally, the method includes an act of automatically generating a composite image based at least in part upon the one or more weights assigned to each pixel in each image in the sequence of images of the scene.
摘要翻译： 本文描述的方法包括接收场景的图像序列并接收图像序列中的参考图像的指示的动作。 该方法还包括自动地将一个或多个权重自动分配给场景图像序列中的每个图像中的每个像素的动作。 此外，该方法包括至少部分地基于分配给场景的图像序列中的每个图像中的每个像素的一个或多个权重来自动生成合成图像的动作。
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公开(公告)号：US08548269B2
公开(公告)日：2013-10-01
申请号：US12971840
申请日：2010-12-17
CPC分类号： G03B37/04 , G03B35/08 , G03B37/06 , H04N5/23238 , H04N13/243
摘要： A method is disclosed for stitching together first and second sets of images from three or more image sensors. The first set of images are combined into a composite left view of the panorama, and the second set of images are combined into a composite right view of the panorama. When properly stitched together, the left and right views may be presented as a stereoscopic view of the panorama. A stitching algorithm is applied which removes any disparity due to the parallax in the combined left images and in the combined right images.
摘要翻译： 公开了一种用于将来自三个或更多个图像传感器的第一和第二组图像拼接在一起的方法。 第一组图像被组合成全景图的复合左视图，并且第二组图像被组合成全景图的复合右视图。 当正确缝合在一起时，左视图和右视图可以呈现为全景的立体视图。 应用缝合算法，其消除由于组合的左图像和组合的右图像中的视差引起的任何视差。
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公开(公告)号：US08526728B2
公开(公告)日：2013-09-03
申请号：US12973922
申请日：2010-12-21
IPC分类号： G06K9/00
CPC分类号： G06T5/00 , G06T2207/20092
摘要： An image enhancement system may match images to a matrix having various enhancements of images for groups of users. The matrix may define image enhancement settings for the particular images and groups of users, and the matching may apply enhancements to a new image that closely matches a user's preferences. After the matrix is initially populated, new users and new images may be added to increase the matrix's accuracy. The image enhancement system may be deployed as a cloud service, where images may be enhanced as a standalone application or as part of a social network or image sharing website. In some embodiments, the image enhancement system may be deployed on a personal computer or as a component of an image capture device.
摘要翻译： 图像增强系统可将图像与具有用户组的各种图像增强的矩阵相匹配。 矩阵可以为特定图像和用户组定义图像增强设置，并且匹配可以对与用户偏好紧密匹配的新图像应用增强。 在最初填充矩阵之后，可以添加新的用户和新的图像以增加矩阵的准确度。 图像增强系统可以部署为云服务，其中可以将图像作为独立应用或作为社交网络或图像共享网站的一部分而增强。 在一些实施例中，图像增强系统可以部署在个人计算机上或作为图像捕获设备的组件。
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公开(公告)号：US20120155786A1
公开(公告)日：2012-06-21
申请号：US12971840
申请日：2010-12-17
IPC分类号： G06K9/36
CPC分类号： G03B37/04 , G03B35/08 , G03B37/06 , H04N5/23238 , H04N13/243
摘要： A method is disclosed for stitching together first and second sets of images from three or more image sensors. The first set of images are combined into a composite left view of the panorama, and the second set of images are combined into a composite right view of the panorama. When properly stitched together, the left and right views may be presented as a stereoscopic view of the panorama. A stitching algorithm is applied which removes any disparity due to the parallax in the combined left images and in the combined right images.
摘要翻译： 公开了一种用于将来自三个或更多个图像传感器的第一和第二组图像拼接在一起的方法。 第一组图像被组合成全景图的复合左视图，并且第二组图像被组合成全景图的复合右视图。 当正确缝合在一起时，左视图和右视图可以呈现为全景的立体视图。 应用缝合算法，其消除由于组合的左图像和组合的右图像中的视差引起的任何视差。
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公开(公告)号：US20120154518A1
公开(公告)日：2012-06-21
申请号：US12971580
申请日：2010-12-17
IPC分类号： H04N7/00
CPC分类号： G03B37/06 , G03B17/565 , G03B35/08 , G03B37/04 , H04N13/243 , H04N13/282 , H04N2213/001
摘要： Systems and methods are disclosed for generating panoramic stereoscopic images. The system includes an assembly of three or more catadioptric image sensors affixed to each other in a chassis. Each image sensor generates a catadioptric image of a panorama, which may for example be a 360° view of a scene. The software components process the catadioptric image to a 3D stereoscopic view of a panorama.
摘要翻译： 公开了用于产生全景立体图像的系统和方法。 该系统包括在底盘中彼此固定的三个或更多个折反射图像传感器的组件。 每个图像传感器产生全景的反射折射图像，其可以例如是场景的360°视图。 软件组件将反射折射图像处理成全景的3D立体视图。
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60.发明授权公开(公告)号：US08098728B2
公开(公告)日：2012-01-17
申请号：US11182144
申请日：2005-07-15
CPC分类号： H04N21/4347 , H04N13/111 , H04N19/109 , H04N19/39 , H04N19/593 , H04N19/597 , H04N19/61 , H04N19/70 , H04N19/96 , H04N21/2365
摘要： A process for compressing and decompressing non-keyframes in sequential sets of contemporaneous video frames making up multiple video streams where the video frames in a set depict substantially the same scene from different viewpoints. Each set of contemporaneous video frames has a plurality frames designated as keyframes with the remaining being non-keyframes. In one embodiment, the non-keyframes are compressed using a multi-directional spatial prediction technique. In another embodiment, the non-keyframes of each set of contemporaneous video frames are compressed using a combined chaining and spatial prediction compression technique. The spatial prediction compression technique employed can be a single direction technique where just one reference frame, and so one chain, is used to predict each non-keyframe, or it can be a multi-directional technique where two or more reference frames, and so chains, are used to predict each non-keyframe.
摘要翻译： 一种用于在构成多个视频流的同步视频帧的顺序集合中压缩和解压缩非关键帧的过程，其中集合中的视频帧从不同视点描绘基本相同的场景。 每组同时期的视频帧具有指定为关键帧的多个帧，其余的是非关键帧。 在一个实施例中，使用多方向空间预测技术来压缩非关键帧。 在另一个实施例中，使用组合链接和空间预测压缩技术来压缩每组同时期视频帧的非关键帧。 所使用的空间预测压缩技术可以是单向技术，其中仅使用一个参考帧，因此使用一条链来预测每个非关键帧，或者它可以是多方向技术，其中两个或更多个参考帧等 链，用于预测每个非关键帧。
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