公开(公告)号：WO2009149403A1

公开(公告)日：2009-12-10

申请号：PCT/US2009/046488

申请日：2009-06-05

Applicant: FOVIA, INC. ,  BUYANOVSKIY, Georgiy

Inventor： BUYANOVSKIY, Georgiy

IPC: G06T15/00

CPC classification number: G06T15/08

Abstract: Method and apparatus in computer enabled imaging for user control of the type of lighting applied to computer enabled volume rendering by means of an extended transfer function, by adding to the transfer function an additional user controlled parameter which explicitly specifies the type of lighting which is to be applied for all correspondent sample values.

Abstract translation: 计算机启用成像中的方法和装置，用于通过借助于扩展传递函数来应用于计算机启用的体绘制的照明类型的用户控制，通过向传递函数添加另外的用户控制的参数，其明确地指定照明的类型 应用于所有对应的样本值。

公开(公告)号：WO2019100002A1

公开(公告)日：2019-05-23

申请号：PCT/US2018/061818

申请日：2018-11-19

Applicant: FOVIA INC.

Inventor： BUYANOVSKIY, Georgiy ,  KREEGER, Kevin

IPC: G06T15/60 ,  G06T15/04 ,  G06T15/08 ,  G06T17/00 ,  G06T19/00

CPC classification number: G06T15/60 ,  G06T15/04 ,  G06T2215/12

Abstract: Methods and systems related to dynamic visualization of a representation of a three dimensional object are provided. In some embodiments, a computer system accesses a volumetric dataset representing the object. The computer system applies a set of one or more light rays/vectors to the volumetric data-set representing the object and generates a plurality of intermediate images, each intermediate image of the plurality of intermediate images corresponding to each of the one or more light vectors applied to the volumetric data-set representing an object. The computer system generates an accumulated image based on the plurality of intermediate images. The computer system determines whether a user has manipulated the accumulated image within a predetermined amount of time and in accordance with a determination that the user has manipulated the accumulated image within a predetermined amount of time, updates the accumulated image based on a user manipulation.

公开(公告)号：WO2015080975A1

公开(公告)日：2015-06-04

申请号：PCT/US2014/066860

申请日：2014-11-21

Applicant: FOVIA, INC.

Inventor： BUYANOVSKIY, Georgiy

IPC: G06T15/00

CPC classification number: G06T19/20 ,  G06T15/04 ,  G06T15/08 ,  G06T15/87 ,  G06T2219/2012

Abstract: Processes and systems in computer enabled imaging for the mapping of volume rendering colors upon polygonal model objects applied to computer enabled volume rendering by means of mapping or encoding the color of volume rendering data upon polygonal model objects located inside volumetric data. Exemplary processes and systems including assigning the rendering result of voxels at or near the surface of the polygonal object.

Abstract translation: 计算机启用成像中的过程和系统，用于通过在体积数据中的多边形模型对象上映射或编码体绘制数据的颜色来应用于计算机启用的体绘制的多边形模型对象上的体绘制颜色映射。 示例性过程和系统包括将体素的渲染结果分配在多边形对象的表面处或附近。

公开(公告)号：WO2015077314A2

公开(公告)日：2015-05-28

申请号：PCT/US2014066369

申请日：2014-11-19

Applicant: FOVIA INC

Inventor： BROWN KENNETH

CPC classification number: G06T15/08 ,  G06T15/06 ,  G06T19/20 ,  G06T2219/2012

Abstract: Processes and systems for computer enabled volume data rendering, and more particularly for mapping of volume rendering colors upon polygonal model objects applied to computer enabled volume rendering are described. In one example, the mapping or encoding of the color of volume rendering data upon polygonal model objects located inside volumetric data is achieved by assigning the rendering result of voxels near the surface of the polygonal object.

Abstract translation: 描述了用于计算机启用的卷数据呈现的处理和系统，更具体地说，用于在应用于计算机启用的体绘制的多边形模型对象上的体绘制颜色的映射。 在一个示例中，通过在多边形对象的表面附近分配体素的渲染结果来实现体位数据内的多边形模型对象上的体绘制数据的颜色的映射或编码。

公开(公告)号：WO2005020142A2

公开(公告)日：2005-03-03

申请号：PCT/US2004026819

申请日：2004-08-18

Applicant: FOVIA INC ,  BUYANOVSKIY GEORGIY

Inventor： BUYANOVSKIY GEORGIY

IPC: G06T

CPC classification number: G06T15/06 ,  G06T15/08 ,  G06T15/83 ,  G06T17/005

Abstract: The adaptive MIP ray casting system first fragments a 3-D dataset into multiple sub-volumes and constructs an octree data structure with each sub-volume being associated with one node of the octree data structure. The system then establishes a 2-D image plane and selectively launches a plurality of rays towards the 3-D dataset, each ray adaptively interacting with a subset of the sub-volumes and identifies the maximum data value along the ray path. The maximum data value is then converted into a pixel value on the 2-D image plane. Finally, the system interpolates pixel values at those locations where no pixel value is generated by ray casting and thereby generates a 2-D image of the 3-D dataset.

Abstract translation: 自适应MIP射线投射系统首先将3-D数据集分割成多个子体积并构建八叉树数据结构，其中每个子体积与八叉树数据结构的一个节点相关联。 然后，系统建立2-D图像平面并且选择性地向3-D数据集发射多个光线，每个射线自适应地与子体积的子集相互作用并且沿着光线路径识别最大数据值。 然后将最大数据值转换为2-D图像平面上的像素值。 最后，系统通过射线投射在不产生像素值的那些位置处内插像素值，从而生成3-D数据集的2-D图像。

公开(公告)号：WO2019074744A1

公开(公告)日：2019-04-18

申请号：PCT/US2018/054209

申请日：2018-10-03

Applicant: FOVIA INC.

Inventor： BUYANOVSKIY, Georgiy

IPC: H03M7/30 ,  G06F7/00 ,  G06F17/30

Abstract: Methods and apparatus for bit prediction and data compression are provided. In the bit prediction method and apparatus, a specific Suffix Trie is used to maintain a statistical model to predict the next bit in a bit-stream. The statistic model provides the probability for each next or following bit in the bit stream, where an entropy encoder/decoder further encodes/decodes the predicted bit. The algorithm simplicity and its high performance relies on the combination of the specific method of Suffix Trie construction and growing, and the specific way to compute, update and propagate the probability across Suffix Trie nodes. The specific and particular method to grow the Suffix Trie in conjunction with the specific method to compute, update, and propagate the probability across Suffix Trie nodes are key aspects and subject matter of the present invention.

公开(公告)号：WO2017091507A1

公开(公告)日：2017-06-01

申请号：PCT/US2016/063111

申请日：2016-11-21

Applicant: FOVIA, INC.

Inventor： KREEGER, Kevin

IPC: G06T15/00 ,  G06T7/00 ,  G06T17/00

CPC classification number: G06T7/0012 ,  G06T7/0016 ,  G06T7/254 ,  G06T7/277 ,  G06T2207/10028 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30064

Abstract: Methods and systems related to variation assessment of a first 3D object are provided. In some embodiments, a computer system obtains a first dataset and a second dataset. The first dataset represents data associated with a first evaluation of the first 3D object and the second dataset represents data associated with a second evaluation of the first 3D object. The computer system determines a first metric based on the first dataset and a second metric based on the second dataset. The first and second metrics represent distributions of probabilities with respect to values associated with the characteristic of the first 3D object at the first and second evaluations, respectively. The computer system further provides, based on the first metric and the second metric, an assessment of the first 3D object variation between the first evaluation and the second evaluation.

Abstract translation: 提供了与第一3D对象的变化评估有关的方法和系统。 在一些实施例中，计算机系统获得第一数据集和第二数据集。 第一数据集表示与第一3D对象的第一评估相关联的数据，并且第二数据集表示与第一3D对象的第二评估相关联的数据。 计算机系统基于第一数据集确定第一度量，并基于第二数据集确定第二度量。 第一和第二度量分别表示关于与在第一和第二评估处的第一3D对象的特性相关联的值的概率的分布。 计算机系统还基于第一度量和第二度量提供第一评估和第二评估之间的第一3D对象变化的评估。

公开(公告)号：WO2017066191A1

公开(公告)日：2017-04-20

申请号：PCT/US2016/056432

申请日：2016-10-11

Applicant: FOVIA, INC.

Inventor： KREEGER, Kevin ,  BUYANOVSKIY, Georgiy ,  WILKINS, David ,  BRICKMAN, Noah

IPC: A61B5/00

CPC classification number: G06T11/60 ,  G06T7/0081 ,  G06T7/11 ,  G06T2200/24 ,  G06T2207/10012 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/20104

Abstract: Methods and systems related to image segmentation are disclosed. In some examples, a computer system obtains segmentation parameters based on a selection of a region of a displayed image. The selection of the region is associated with a select signal generated by an input device. In response to obtaining the segmentation parameters, the computer system processes the image based on the segmentation parameters. The computer system further adjusts the segmentation parameters based on one or more move signals generated by the input device. The move signal is associated with moving of a representation of the input device within the image. The computer system processes the image based on the one or more adjusted segmentation parameters and displays an image of the selected region based on the processing of the image using the adjusted segmentation parameters.

Abstract translation: 公开了与图像分割相关的方法和系统。 在一些示例中，计算机系统基于对所显示的图像的区域的选择来获得分割参数。 该区域的选择与由输入设备生成的选择信号相关联。 响应于获得分割参数，计算机系统基于分割参数处理图像。 计算机系统还基于由输入设备生成的一个或多个移动信号来调整分割参数。 该移动信号与在图像内移动输入设备的表示相关联。 计算机系统基于一个或多个调整后的分割参数来处理图像，并基于使用调整后的分割参数对图像进行处理来显示所选区域的图像。

公开(公告)号：WO2014197606A1

公开(公告)日：2014-12-11

申请号：PCT/US2014/040921

申请日：2014-06-04

Applicant: FOVIA, INC.

Inventor： BUYANOVSKIY, Georgiy

IPC: G06T15/08 ,  G06T17/00 ,  G06T19/20

CPC classification number: G06T15/08 ,  G06T9/40 ,  G06T17/005 ,  G06T19/20 ,  G06T2210/62 ,  G06T2219/2012

Abstract: Processes and systems for computer enabled volume data rendering, and more particularly for volume rendering of multiple classificated volume datasets using an Interpolation-Classification (IC) order are provided. Further, an octree min/max can be used for volume rendering with the multiple classifications and at the same time applying the IC order to visualize the multiple classifications volume rendering.

Abstract translation: 提供了用于计算机启用的卷数据呈现的过程和系统，更具体地说，用于使用插值分类（IC）顺序的多个分类卷数据集的体绘制。 此外，八分之一最小/最大可以用于具有多个分类的体绘制，并且同时应用IC命令来可视化多个分类体绘制。

公开(公告)号：WO2016007432A1

公开(公告)日：2016-01-14

申请号：PCT/US2015/039242

申请日：2015-07-06

Applicant: FOVIA, INC.

Inventor： BROWN, Kenneth

IPC: G06T11/20

CPC classification number: G06T11/20 ,  G06T11/40 ,  G06T17/205 ,  G06T2200/04 ,  G06T2200/28

Abstract: Methods and systems in computer enabled imaging for the classification of connected sets of polygons in polygonal models/objects with spatially grid-like topology are provided. In one example, for the classification of connected sets of polygons in polygonal models/objects with spatially grid-like topology such as those generated by threshold-based extraction routines from volumetric data by means of exploiting the nature of the source data to efficiently determine an optimal neighborhood of possibly connected polygon.

Abstract translation: 提供了计算机启用成像中的方法和系统，用于在具有空间网格状拓扑的多边形模型/对象中连接的多边形集合的分类。 在一个示例中，对于具有空间网格状拓扑的多边形模型/对象中连接的多边形集合的分类，例如通过利用源数据的性质通过基于阈值的提取例程从体数据生成的多边形集合来有效地确定 可能连接的多边形的最佳邻域。