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    • 1. 发明授权
    • Facial animation system and production method
    • 面部动画制作及制作方法
    • US08648866B2
    • 2014-02-11
    • US12831666
    • 2010-07-07
    • Wen-Hung TingChen-Lan YenWen-Liang ChiDuan-Li Liao
    • Wen-Hung TingChen-Lan YenWen-Liang ChiDuan-Li Liao
    • G06T13/00G06T1/00G06F17/00
    • G06T13/40
    • A facial animation production method for producing 3-dimensional (3D) facial animation data in response to input video data includes the following steps. First, data positioning and character sorting processes are performed on the input video data to acquire first-layer character data, for indicating multiple first-layer character points, and first-layer model data. Next, first-layer model outline data and first-layer character outline data are respectively obtained according to the first-layer model data and the first-layer character data. Then, the first-layer character outline data is compared with the first-layer model outline data to judge whether a judgment condition is satisfied. If not, output character data are produced according to the first-layer character data, and fundamental facial-mesh transformation data are thus produced. Thereafter, the 3D facial animation data are displayed according to the fundamental facial-mesh transformation data.
    • 用于响应于输入视频数据产生三维(3D)面部动画数据的面部动画制作方法包括以下步骤。 首先,对输入视频数据进行数据定位和字符排序处理,以获取用于指示多个第一层字符点的第一层字符数据和第一层模型数据。 接下来,根据第一层模型数据和第一层字符数据分别获得第一层模型轮廓数据和第一层字符轮廓数据。 然后,将第一层字符轮廓数据与第一层模型轮廓数据进行比较,以判断是否满足判断条件。 如果不是,则根据第一层字符数据产生输出字符数据,从而产生基本面部网格变换数据。 此后,根据基本面部网格变换数据显示3D面部动画数据。
    • 2. 发明申请
    • Facial Animation System and Production Method
    • 面部动画系统和制作方法
    • US20110141105A1
    • 2011-06-16
    • US12831666
    • 2010-07-07
    • Wen-Hung TingChen-Lan YenWen-Liang ChiDuan-Li Liao
    • Wen-Hung TingChen-Lan YenWen-Liang ChiDuan-Li Liao
    • G06T15/70
    • G06T13/40
    • A facial animation production method for producing 3-dimensional (3D) facial animation data in response to input video data includes the following steps. First, data positioning and character sorting processes are performed on the input video data to acquire first-layer character data, for indicating multiple first-layer character points, and first-layer model data. Next, first-layer model outline data and first-layer character outline data are respectively obtained according to the first-layer model data and the first-layer character data. Then, the first-layer character outline data is compared with the first-layer model outline data to judge whether a judgment condition is satisfied. If not, output character data are produced according to the first-layer character data, and fundamental facial-mesh transformation data are thus produced. Thereafter, the 3D facial animation data are displayed according to the fundamental facial-mesh transformation data.
    • 用于响应于输入视频数据产生三维(3D)面部动画数据的面部动画制作方法包括以下步骤。 首先,对输入视频数据进行数据定位和字符排序处理,以获取用于指示多个第一层字符点的第一层字符数据和第一层模型数据。 接下来,根据第一层模型数据和第一层字符数据分别获得第一层模型轮廓数据和第一层字符轮廓数据。 然后,将第一层字符轮廓数据与第一层模型轮廓数据进行比较,以判断是否满足判断条件。 如果不是,则根据第一层字符数据产生输出字符数据,从而产生基本面部网格变换数据。 此后,根据基本面部网格变换数据显示3D面部动画数据。
    • 3. 发明授权
    • Image depth information refreshing method and device
    • 图像深度信息刷新方法和设备
    • US08643643B2
    • 2014-02-04
    • US12981649
    • 2010-12-30
    • Chia-Chang LiDuan-Li LiaoWen-Hung TingPo-Lung Chen
    • Chia-Chang LiDuan-Li LiaoWen-Hung TingPo-Lung Chen
    • G06T15/00
    • G06T7/593G06T2207/10021G06T2207/20021H04N2013/0081
    • An image depth information refreshing method applied to an image depth information refreshing device is disclosed. The image depth information refreshing device includes a storage unit and an arithmetic logic unit. The storage unit stores a previous depth diagram corresponding to a previous image. The image depth information refreshing method includes the following steps. The arithmetic logic unit divides a current image captured by an image capturing unit into multiple image blocks. The arithmetic logic unit calculates a depth reference value of each image block according to the previous depth diagram, and determines a weight of each image block according to the depth reference values. The arithmetic logic unit determines a refreshing frequency of each image block according to the weights. The arithmetic logic unit respectively refreshes the image block according to the refreshing frequencies of the image blocks, and generates a current depth diagram corresponding to the current image.
    • 公开了一种应用于图像深度信息刷新装置的图像深度信息刷新方法。 图像深度信息刷新装置包括存储单元和算术逻辑单元。 存储单元存储对应于先前图像的先前深度图。 图像深度信息刷新方法包括以下步骤。 算术逻辑单元将由图像捕获单元捕获的当前图像划分为多个图像块。 算术逻辑单元根据先前的深度图计算每个图像块的深度参考值,并根据深度参考值确定每个图像块的权重。 算术逻辑单元根据权重确定每个图像块的刷新频率。 算术逻辑单元根据图像块的刷新频率分别刷新图像块,并生成与当前图像对应的当前深度图。
    • 4. 发明申请
    • Image Depth Information Refreshing Method and Device
    • 图像深度信息刷新方法和设备
    • US20120105433A1
    • 2012-05-03
    • US12981649
    • 2010-12-30
    • Chia-Chang LiDuan-Li LiaoWen-Hung TingPo-Lung Chen
    • Chia-Chang LiDuan-Li LiaoWen-Hung TingPo-Lung Chen
    • G06T15/00
    • G06T7/593G06T2207/10021G06T2207/20021H04N2013/0081
    • An image depth information refreshing method applied to an image depth information refreshing device is disclosed. The image depth information refreshing device includes a storage unit and an arithmetic logic unit. The storage unit stores a previous depth diagram corresponding to a previous image. The image depth information refreshing method includes the following steps. The arithmetic logic unit divides a current image captured by an image capturing unit into multiple image blocks. The arithmetic logic unit calculates a depth reference value of each image block according to the previous depth diagram, and determines a weight of each image block according to the depth reference values. The arithmetic logic unit determines a refreshing frequency of each image block according to the weights. The arithmetic logic unit respectively refreshes the image block according to the refreshing frequencies of the image blocks, and generates a current depth diagram corresponding to the current image.
    • 公开了一种应用于图像深度信息刷新装置的图像深度信息刷新方法。 图像深度信息刷新装置包括存储单元和算术逻辑单元。 存储单元存储对应于先前图像的先前深度图。 图像深度信息刷新方法包括以下步骤。 算术逻辑单元将由图像捕获单元捕获的当前图像划分为多个图像块。 算术逻辑单元根据先前的深度图计算每个图像块的深度参考值,并根据深度参考值确定每个图像块的权重。 算术逻辑单元根据权重确定每个图像块的刷新频率。 算术逻辑单元根据图像块的刷新频率分别刷新图像块,并生成与当前图像对应的当前深度图。
    • 6. 发明授权
    • Method and computing device in a system for motion detection
    • 运动检测系统中的方法和计算装置
    • US08578299B2
    • 2013-11-05
    • US12901372
    • 2010-10-08
    • Po-Lung ChenChien-Chun KuoWen-Yang WangDuan-Li LiaoZhou YeSheng-Wen Jeng
    • Po-Lung ChenChien-Chun KuoWen-Yang WangDuan-Li LiaoZhou YeSheng-Wen Jeng
    • G06F3/048G06T13/00G06K9/40
    • G06K9/00201G06F3/005G06F3/011G06F3/012G06F3/017G06K9/00335G06T7/11G06T7/194G06T7/246
    • A computing device in a system for motion detection comprises an image processing device to determine a motion of an object of interest, and a graphical user interface (GUI) module to drive a virtual role based on the motion determined by the image processing device. The image processing device comprises a foreground extracting module to extract a foreground image from each of a first image of the object of interest taken by a first camera and a second image of the object of interest taken by a second camera, a feature point detecting module to detect feature points in the foreground image, a depth calculating module to calculate the depth of each of the feature points based on disparity images associated with the each feature point, the depth calculating module and the feature point detecting module identifying a three-dimensional (3D) position of each of the feature points, and a motion matching module to identify vectors associated with the 3D positions of the feature points and determine a motion of the object of interest based on the vectors.
    • 用于运动检测的系统中的计算设备包括用于确定感兴趣对象的运动的图像处理设备,以及基于由图像处理设备确定的运动来驱动虚拟角色的图形用户界面(GUI)模块。 图像处理装置包括:前景提取模块,用于从第一相机拍摄的感兴趣对象的第一图像和由第二相机拍摄的感兴趣对象的第二图像中的每一个提取前景图像,特征点检测模块 用于检测前景图像中的特征点,深度计算模块,用于基于与每个特征点相关联的视差图像来计算每个特征点的深度,深度计算模块和特征点检测模块识别三维( 3D)每个特征点的位置,以及运动匹配模块,以识别与特征点的3D位置相关联的向量,并且基于向量确定感兴趣对象的运动。
    • 8. 发明申请
    • METHOD AND COMPUTING DEVICE IN A SYSTEM FOR MOTION DETECTION
    • 用于运动检测的系统中的方法和计算装置
    • US20120089949A1
    • 2012-04-12
    • US12901372
    • 2010-10-08
    • Po-Lung ChenChien-Chun KuoWen-Yang WangDuan-Li Liao
    • Po-Lung ChenChien-Chun KuoWen-Yang WangDuan-Li Liao
    • G06F3/048G06K9/00
    • G06K9/00201G06F3/005G06F3/011G06F3/012G06F3/017G06K9/00335G06T7/11G06T7/194G06T7/246
    • A computing device in a system for motion detection comprises an image processing device to determine a motion of an object of interest, and a graphical user interface (GUI) module to drive a virtual role based on the motion determined by the image processing device. The image processing device comprises a foreground extracting module to extract a foreground image from each of a first image of the object of interest taken by a first camera and a second image of the object of interest taken by a second camera, a feature point detecting module to detect feature points in the foreground image, a depth calculating module to calculate the depth of each of the feature points based on disparity images associated with the each feature point, the depth calculating module and the feature point detecting module identifying a three-dimensional (3D) position of each of the feature points, and a motion matching module to identify vectors associated with the 3D positions of the feature points and determine a motion of the object of interest based on the vectors.
    • 用于运动检测的系统中的计算设备包括用于确定感兴趣对象的运动的图像处理设备,以及基于由图像处理设备确定的运动来驱动虚拟角色的图形用户界面(GUI)模块。 图像处理装置包括:前景提取模块,用于从第一相机拍摄的感兴趣对象的第一图像和由第二相机拍摄的感兴趣对象的第二图像中的每一个提取前景图像,特征点检测模块 用于检测前景图像中的特征点,深度计算模块,用于基于与每个特征点相关联的视差图像来计算每个特征点的深度,深度计算模块和特征点检测模块识别三维( 3D)每个特征点的位置,以及运动匹配模块,以识别与特征点的3D位置相关联的向量,并基于向量确定感兴趣对象的运动。