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    • 1. 发明授权
    • Method and apparatus for multi-view three dimensional estimation
    • 用于多视图三维估计的方法和装置
    • US06571024B1
    • 2003-05-27
    • US09336319
    • 1999-06-18
    • Harpreet Singh SawhneyRakesh KumarYanlin GuoJane AsmuthKeith James Hanna
    • Harpreet Singh SawhneyRakesh KumarYanlin GuoJane AsmuthKeith James Hanna
    • G06K932
    • G06T7/248G06T7/246G06T2207/10016G06T2207/30244
    • An apparatus and method for generating automated multi-view three dimensional pose and geometry estimation for the insertion of realistic and authentic views of synthetic objects into a real scene. A multi-view three dimensional estimation routine comprising the steps of feature tracking, pairwise camera pose estimation, computing camera pose for overlapping sequences and performing a global block adjustment to provide camera pose and scene geometric information for each frame of a scene. A match move routine may be used to insert a synthetic object into one frame of a video sequence based on the pose and geometric information of the frame, and calculate all other required object views of the synthetic object for the remaining frames using the pose and geometric information acquired as a result of the multi-view three dimensional estimation routine.
    • 一种用于产生用于将合成对象的真实和真实视图插入到真实场景中的自动多视图三维姿态和几何估计的装置和方法。 一种多视图三维估计程序,包括特征跟踪,配对摄像机姿态估计,重叠序列的计算摄像机姿态,以及执行全局块调整以为场景的每个帧提供摄像机姿态和场景几何信息的步骤。 可以使用匹配移动例程来基于帧的姿态和几何信息将合成对象插入到视频序列的一帧中,并且使用姿态和几何来计算剩余帧的合成对象的所有其他所需对象视图 作为多视图三维估计程序的结果获取的信息。
    • 2. 发明授权
    • Method and apparatus for performing geo-spatial registration
    • 执行地理空间配准的方法和装置
    • US06512857B1
    • 2003-01-28
    • US09075462
    • 1998-05-08
    • Stephen Charles HsuRakesh KumarHarpreet Singh SawhneyJane Asmuth
    • Stephen Charles HsuRakesh KumarHarpreet Singh SawhneyJane Asmuth
    • G06K932
    • G06T7/70G06T7/30
    • A system and method for accurately mapping between camera coordinates and geo-coordinates, called geo-spatial registration. The system utilizes the imagery and terrain information contained in the geo-spatial database to precisely align geographically calibrated reference imagery with an input image, e.g., dynamically generated video images, and thus achieve a high accuracy identification of locations within the scene. When a sensor, such as a video camera, images a scene contained in the geo-spatial database, the system recalls a reference image pertaining to the imaged scene. This reference image is aligned very accurately with the sensor's images using a parametric transformation. Thereafter, other information that is associated with the reference image can easily be overlaid upon or otherwise associated with the sensor imagery.
    • 一种用于在相机坐标和地理坐标之间精确映射的系统和方法,称为地理空间注册。 该系统利用地理空间数据库中包含的图像和地形信息精确地对准地理校准的参考图像与输入图像,例如动态生成的视频图像,从而实现对场景内位置的高精度识别。 当诸如摄像机的传感器对包含在地理空间数据库中的场景进行成像时,系统调用与成像场景相关的参考图像。 该参考图像使用参数变换与传感器的图像非常准确地对齐。 此后,与参考图像相关联的其他信息可以容易地覆盖在传感器图像上或以其他方式与传感器图像相关联。
    • 3. 发明授权
    • Mosaicing and enhancement of images for ophthalmic diagnosis and documentation
    • 用于眼科诊断和文件的马赛克和增强图像
    • US06454410B1
    • 2002-09-24
    • US09692939
    • 2000-10-20
    • Jeffrey W. BergerJane AsmuthSteve HsuPaul Sajda
    • Jeffrey W. BergerJane AsmuthSteve HsuPaul Sajda
    • A61B314
    • G06T3/4038A61B3/0041A61B3/0058A61B3/12A61B3/135A61B3/145G06T3/0068G06T7/30G06T2207/20016G06T2207/30041
    • The invention is a method and system for mosaicing images of the eye to create high resolution, wide-field ophthalmic images for the diagnosis and treatment of eye diseases. The inventive method acquires a first image of the eye, acquires a second image of the eye, and processes the images to produce a mosaic representation. The second image includes a portion of the first image. To guide in acquiring the second image, the method may view the first image while acquiring the second image. The images typically are acquired using either a direct ophthalmoscope or a slitlamp biomicroscope. The method further may convert the images to a digital format. The step of processing includes aligning and merging the images, and conducting real-time processing and non-real-time processing. Real-time processing may include eliminating non-overlapping images, image registration, topology inference, local-to-global alignment, image fusion, signal estimation, and multiresolution blending, while the non-real-time processing may include local alignment, global alignment, image registration, intra-alignment, inter-alignment, signal averaging, and photometric blending.
    • 本发明是一种用于镶嵌眼睛图像的方法和系统,以创建用于诊断和治疗眼部疾病的高分辨率,大范围眼科图像。 本发明方法获取眼睛的第一图像,获取眼睛的第二图像,并处理图像以产生马赛克表示。 第二图像包括第一图像的一部分。 为了引导获取第二图像,该方法可以在获取第二图像的同时查看第一图像。 图像通常使用直接检眼镜或狭缝灯生物显微镜来获取。 该方法还可以将图像转换成数字格式。 处理步骤包括对齐和合并图像,进行实时处理和非实时处理。 实时处理可以包括消除不重叠的图像,图像配准,拓扑推断,局部到全局对齐,图像融合,信号估计和多分辨率混合,而非实时处理可以包括局部对齐,全局对齐 ,图像配准,帧内对准,对齐,信号平均和光度调制。