-
公开(公告)号：US08655052B2
公开(公告)日：2014-02-18
申请号：US11627414
申请日：2007-01-26
CPC分类号： G06T7/55
摘要： The present invention is directed to a system and method for interactive and iterative reconstruction in a manner that helps to reduce computational requirements by generating a model from a subset of the available data, and then refining that model using additional data. Example embodiments directed to scene reconstruction, reconstruct a 3D scene from a plurality of 2D images of that scene by first generating a model of the 3D scene from a subset a of the 2D images. The model can then be refined using specific characteristics of each image in the subset that are calculated using the other images in the subset. The model is further refined using images not in the original subset.
摘要翻译： 本发明涉及一种用于以有助于通过从可用数据的子集生成模型来减少计算需求的方式进行交互式和迭代重建的系统和方法，然后使用附加数据来提炼该模型。 针对场景重建的示例性实施例，通过首先从2D图像的子集a生成3D场景的模型，从该场景的多个2D图像重建3D场景。 然后可以使用子集中的其他图像计算的子集中的每个图像的特定特征来改进该模型。 使用不在原始子集中的图像进一步改进模型。
-
公开(公告)号：US20080181486A1
公开(公告)日：2008-07-31
申请号：US11627414
申请日：2007-01-26
IPC分类号： G06K9/00
CPC分类号： G06T7/55
摘要： The present invention is directed to a system and method for interactive and iterative reconstruction in a manner that helps to reduce computational requirements by generating a model from a subset of the available data, and then refining that model using additional data. Example embodiments directed to scene reconstruction, reconstruct a 3D scene from a plurality of 2D images of that scene by first generating a model of the 3D scene from a subset a of the 2D images. The model can then be refined using specific characteristics of each image in the subset that are calculated using the other images in the subset. The model is further refined using images not in the original subset.
摘要翻译： 本发明涉及一种用于以有助于通过从可用数据的子集生成模型来减少计算需求的方式进行交互式和迭代重建的系统和方法，然后使用附加数据来提炼该模型。 针对场景重建的示例性实施例，通过首先从2D图像的子集a生成3D场景的模型，从该场景的多个2D图像重建3D场景。 然后可以使用子集中的其他图像计算的子集中的每个图像的特定特征来改进该模型。 使用不在原始子集中的图像进一步改进模型。
-
公开(公告)号：US20080055310A1
公开(公告)日：2008-03-06
申请号：US11729834
申请日：2007-03-30
申请人： Ross Mitchell , Sonny Chan , Mario Sousa , Torin Taerum , Faramarz Samavati
发明人： Ross Mitchell , Sonny Chan , Mario Sousa , Torin Taerum , Faramarz Samavati
IPC分类号： G06T17/00
摘要： The present invention relates to a method and system for processing a volumetric dataset for providing close-up visualization of a subset therefrom. A volumetric dataset is processed based on a dual access gradient quantization data structure. The data structure is generated in a fast pre-processing stage and provides substantially immediate access to a quantized gradient using either an index or an arbitrary normalized vector. The method provides a clear, enlarged high-resolution image of a user selected region of interest at interactive rates and allows the user to freely move and visualize the region of interest within the volumetric dataset and with any orientation.
摘要翻译： 本发明涉及用于处理体数据集的方法和系统，用于从其中提供子集的特写可视化。 基于双重访问梯度量化数据结构处理体数据集。 在快速预处理阶段中生成数据结构，并使用索引或任意标准化向量实质上立即访问量化梯度。 该方法以交互速率提供用户选择的感兴趣区域的清晰，放大的高分辨率图像，并且允许用户在体积数据集内并且以任何方向自由移动和可视化感兴趣的区域。
-
公开(公告)号：US07893940B2
公开(公告)日：2011-02-22
申请号：US11729834
申请日：2007-03-30
IPC分类号： G06T17/00
摘要： The present invention relates to a method and system for processing a volumetric dataset for providing close-up visualization of a subset therefrom. A volumetric dataset is processed based on a dual access gradient quantization data structure. The data structure is generated in a fast pre-processing stage and provides substantially immediate access to a quantized gradient using either an index or an arbitrary normalized vector. The method provides a clear, enlarged high-resolution image of a user selected region of interest at interactive rates and allows the user to freely move and visualize the region of interest within the volumetric dataset and with any orientation.
摘要翻译： 本发明涉及用于处理体数据集的方法和系统，用于从其中提供子集的特写可视化。 基于双重访问梯度量化数据结构处理体数据集。 在快速预处理阶段中生成数据结构，并使用索引或任意标准化向量实质上立即访问量化梯度。 该方法以交互速率提供用户选择的感兴趣区域的清晰，放大的高分辨率图像，并且允许用户在体积数据集内并且以任何方向自由移动和可视化感兴趣的区域。
-
-
-
搜索结果
4 条记录 (耗时 0.015 秒)
