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公开(公告)号：US5987164A
公开(公告)日：1999-11-16
申请号：US904921
申请日：1997-08-01
申请人： Richard Szeliski , Heung-Yeung Shum
发明人： Richard Szeliski , Heung-Yeung Shum
CPC分类号： G06T7/0028 , G06K9/209 , G06T3/4038 , G06K2009/2045
摘要： The invention is embodied in a block adjustment method and apparatus which simultaneously aligns a set of overlapping images in order to construct an image mosaic. For each one of the images of the set, the invention performs the alignment by determining ray directions relative to a 3-dimensional coordinate system at plural predetermined pixel locations in the one image. For each one of the plural pixel locations in the one image, ray directions are determined relative to the 3-dimensional coordinate system of the corresponding pixel location in each one of the other images overlapping the one predetermined pixel location of the one image. Then, incremental deformations of the overlapping images are computed which simultaneously minimize differences between the ray directions of plural pairs of the overlapping images which include the one image. The foregoing is performed for each of the plural predetermined pixel locations of the one image simultaneously. The images are warped in accordance with the incremental deformations and the process is repeated.
摘要翻译： 本发明体现在块调整方法和装置中，其同时对齐一组重叠图像以构建图像拼接。 对于该组的每个图像，本发明通过在一个图像中的多个预定像素位置处确定相对于三维坐标系的光线方向来执行对准。 对于一个图像中的多个像素位置中的每个像素位置，相对于与一个图像的一个预定像素位置重叠的每个其它图像中的对应像素位置的3维坐标系确定射线方向。 然后，计算重叠图像的增量变形，其同时使包括一个图像的多对重叠图像的射线方向之间的差异最小化。 对于一个图像的多个预定像素位置中的每一个同时进行上述。 图像根据增量变形而变形，重复该过程。
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公开(公告)号：US09152882B2
公开(公告)日：2015-10-06
申请号：US13162591
申请日：2011-06-17
IPC分类号： G06K9/62
CPC分类号： G06K9/6227 , G06K9/6231
摘要： A mobile device having the capability of performing real-time location recognition with assistance from a server is provided. The approximate geophysical location of the mobile device is uploaded to the server. Based on the mobile device's approximate geophysical location, the server responds by sending the mobile device a message comprising a classifier and a set of feature descriptors. This can occur before an image is captured for visual querying. The classifier and feature descriptors are computed during an offline training stage using techniques to minimize computation at query time. The classifier and feature descriptors are used to perform visual recognition in real-time by performing the classification on the mobile device itself.
摘要翻译： 提供了具有从服务器的协助执行实时位置识别能力的移动设备。 移动设备的近似地球物理位置被上传到服务器。 基于移动设备的近似地球物理位置，服务器通过向移动设备发送包括分类器和一组特征描述符的消息来进行响应。 这可能在捕获图像以进行视觉查询之前发生。 分类器和特征描述符在离线训练阶段使用技术来计算，以最小化查询时间的计算。 分类器和特征描述符用于通过在移动设备本身上执行分类来实时执行视觉识别。
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公开(公告)号：US20120169770A1
公开(公告)日：2012-07-05
申请号：US13418774
申请日：2012-03-13
IPC分类号： G09G5/377
CPC分类号： G06F3/04842 , G06F17/30274 , G06K9/00637 , G06K9/00697 , G06K9/00704 , G06K9/32 , G06T11/00
摘要： Over the past few years there has been a dramatic proliferation of digital cameras, and it has become increasingly easy to share large numbers of photographs with many other people. These trends have contributed to the availability of large databases of photographs. Effectively organizing, browsing, and visualizing such .seas. of images, as well as finding a particular image, can be difficult tasks. In this paper, we demonstrate that knowledge of where images were taken and where they were pointed makes it possible to visualize large sets of photographs in powerful, intuitive new ways. We present and evaluate a set of novel tools that use location and orientation information, derived semi-automatically using structure from motion, to enhance the experience of exploring such large collections of images.
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74.发明授权Navigating images using image based geometric alignment and object based controls 有权使用基于图像的几何对齐和基于对象的控件来浏览图像公开(公告)号：US08160400B2
公开(公告)日：2012-04-17
申请号：US11493436
申请日：2006-07-25
CPC分类号： G06F3/04842 , G06F17/30274 , G06K9/00637 , G06K9/00697 , G06K9/00704 , G06K9/32 , G06T11/00
摘要： Over the past few years there has been a dramatic proliferation of digital cameras, and it has become increasingly easy to share large numbers of photographs with many other people. These trends have contributed to the availability of large databases of photographs. Effectively organizing, browsing, and visualizing such .seas. of images, as well as finding a particular image, can be difficult tasks. In this paper, we demonstrate that knowledge of where images were taken and where they were pointed makes it possible to visualize large sets of photographs in powerful, intuitive new ways. We present and evaluate a set of novel tools that use location and orientation information, derived semi-automatically using structure from motion, to enhance the experience of exploring such large collections of images.
摘要翻译： 在过去几年中，数码相机大幅增加，与其他许多人分享大量照片变得越来越容易。 这些趋势有助于提供大量的照片数据库。 有效地组织，浏览和可视化这样的.seas。 的图像，以及查找特定的图像，可能是困难的任务。 在本文中，我们展示了图像拍摄地点及其指向位置的知识，可以以强大，直观的新方式可视化大量照片。 我们提出并评估一组使用位置和方向信息的新工具，半自动地使用运动结构，增强探索这样大量图像的体验。
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公开(公告)号：US07457477B2
公开(公告)日：2008-11-25
申请号：US10885259
申请日：2004-07-06
CPC分类号： G06T5/50
摘要： A system and method for improving digital flash photographs. The present invention is a technique that significantly improves low-light imaging by giving the end-user all the advantages of flash photography without producing the jarring look. The invention uses an image pair—one taken with flash the other without—to remove noise from the ambient image, sharpen the ambient image using detail from the flash image, correct for color, and remove red-eye.
摘要翻译： 一种用于改进数码闪光照片的系统和方法。 本发明是一种技术，通过给终端用户提供闪光摄影的所有优点，而不会产生刺耳的外观，显着地改善了低光成像。 本发明使用图像对 - 其他闪光拍摄而不是从环境图像中去除噪声，使用来自闪光图像的细节来锐化环境图像，校正颜色并去除红眼。
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公开(公告)号：US20080025633A1
公开(公告)日：2008-01-31
申请号：US11459724
申请日：2006-07-25
申请人： Richard Szeliski
发明人： Richard Szeliski
CPC分类号： G06F17/13
摘要： A “Finite Element Preconditioner” provides locally adapted hierarchical basis functions for preconditioning large data optimization problems. For example, a few of the many typical graphics applications that make use of iterative optimization solutions include tone mapping, gradient domain blending, colorization, and scattered data interpolation. Preconditioning image data for such optimization problems allows those image optimization problems to be solved using less computational overhead and therefore to produce better quality image outputs with less computational overhead. The Finite Element Preconditioner evaluates data, such as image data, to adapt hierarchical basis functions to inhomogeneous problems for preconditioning large optimization problems. Specifically, the Finite Element Preconditioner evaluates the local structure of a coefficient matrix derived from the data and performs a recursive set of variable eliminations, combined with a simplification of the resulting coarse level problems to obtain bases better suited for problems with inhomogeneous (spatially varying) data, smoothness, and boundary constraints.
摘要翻译： “有限元预处理器”提供了本地适应的分层基函数，用于预处理大数据优化问题。 例如，使用迭代优化解决方案的许多典型图形应用程序中的一些包括色调映射，梯度域混合，着色和分散数据插值。 用于这种优化问题的预处理图像数据允许使用更少的计算开销来解决图像优化问题，并且因此以较少的计算开销产生更好质量的图像输出。 有限元预处理器评估数据，如图像数据，以使分层基函数适应不均匀问题，用于预处理大型优化问题。 具体来说，有限元预处理器评估从数据导出的系数矩阵的局部结构，并执行递归的可变消除集合，结合简化所得到的粗糙度问题，以获得更适合于不均匀（空间变化） 数据，平滑度和边界约束。
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77.发明授权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：US07205998B2
公开(公告)日：2007-04-17
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
IPC分类号： G09G5/00
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：US20060088189A1
公开(公告)日：2006-04-27
申请号：US11297627
申请日：2005-12-07
申请人： Richard Szeliski , Nicholas Wilt
发明人： Richard Szeliski , Nicholas Wilt
IPC分类号： G06K9/00
CPC分类号： G06K9/00973 , G06K9/6203
摘要： The present invention is embodied in a system and method for statistically comparing a first set of digital data to at least a second set of digital data and matching the first set of digital data to appropriately corresponding portions of the second set of digital data. The first or the second set of digital data can be transformed during statistical analysis to enhance statistical analysis of the digital data.
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公开(公告)号：US20060083405A1
公开(公告)日：2006-04-20
申请号：US11297086
申请日：2005-12-07
申请人： Richard Szeliski , Nicholas Wilt
发明人： Richard Szeliski , Nicholas Wilt
CPC分类号： G06K9/00973 , G06K9/6203
摘要： The present invention is embodied in a system and method for statistically comparing a first set of digital data to at least a second set of digital data and matching the first set of digital data to appropriately corresponding portions of the second set of digital data. The first or the second set of digital data can be transformed during statistical analysis to enhance statistical analysis of the digital data.
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公开(公告)号：US20060072852A1
公开(公告)日：2006-04-06
申请号：US11286567
申请日：2005-11-22
CPC分类号： G06T5/20 , G06K9/32 , G06K2009/2045 , G06T3/00 , G06T5/003 , G06T7/30 , G06T7/55 , G06T15/503
摘要： A system and method for deghosting mosaics provides a novel multiperspective plane sweep approach for generating an image mosaic from a sequence of still images, video images, scanned photographic images, computer generated images, etc. This multiperspective plane sweep approach uses virtual camera positions to compute depth maps for columns of overlapping pixels in adjacent images. Object distortions and ghosting caused by image parallax when generating the image mosaics are then minimized by blending pixel colors, or grey values, for each computed depth to create a common composite area for each of the overlapping images. Further, the multiperspective plane sweep approach described herein is both computationally efficient, and applicable to both the case of limited overlap between the images used for creating the image mosaics, and to the case of extensive or increased image overlap.
摘要翻译： 用于消除幻影的马赛克的系统和方法提供了一种新颖的多平面扫描方法，用于从静止图像，视频图像，扫描摄影图像，计算机生成的图像等的序列生成图像马赛克。该多平面扫描方法使用虚拟相机位置来计算 相邻图像中重叠像素列的深度图。 然后通过为每个计算的深度混合像素颜色或灰度值来最小化由图像视差产生的图像马赛克引起的对象失真和重影，以为每个重叠图像创建公共复合区域。 此外，本文描述的多平面扫描方法在计算上是有效的，并且适用于用于创建图像马赛克的图像之间的有限重叠的情况以及广泛或增加的图像重叠的情况。
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