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1. 发明授权

US08417003B2 System for estimating location of occluded skeleton, method for estimating location of occluded skeleton and method for reconstructing occluded skeleton 有权
标题翻译：用于估计闭塞骨骼位置的系统，用于估计闭塞骨骼位置的方法和用于重建闭塞骨架的方法
公开(公告)号：US08417003B2
公开(公告)日：2013-04-09
申请号：US13039492
申请日：2011-03-03
申请人： Ko-Shyang Wang , Yao-Yang Tsai , Chih-Pin Liao , Wen-Yang Wang , Po-Lung Chen
发明人： Ko-Shyang Wang , Yao-Yang Tsai , Chih-Pin Liao , Wen-Yang Wang , Po-Lung Chen
IPC分类号： G06K9/00 , G09B23/28 , A61B1/32 , A61B17/08
CPC分类号： G06K9/00342 , G06T7/251 , G06T2207/30196 , G06T2207/30241
摘要： A system for estimating a location of an occluded skeleton, a method for estimating a location of an occluded skeleton and a method for reconstructing an occluded skeleton are provided. The method for estimating a location of an occluded skeleton comprises the following steps: Firstly, a trace of a reference central point of a body is estimated according to a plurality of continuously moving images. Next, a human movement state is estimated according to the trace and a motion information of the continuously moving images free of skeleton occlusion. Then, a possible range of the occluded skeleton for maintaining human balance is calculated according to the human movement state. Afterwards, a current motion level of the occluded skeleton is predicted according to a historic motion information of the occluded skeleton. Lastly, the location of the occluded skeleton is estimated according to the current motion level and the possible range.
摘要翻译：提供了一种用于估计闭塞骨架的位置的系统，用于估计闭塞骨骼的位置的方法和用于重建闭塞的骨架的方法。用于估计遮挡骨架的位置的方法包括以下步骤：首先，根据多个连续运动的图像来估计身体的参考中心点的轨迹。接下来，根据轨迹和没有骨骼闭塞的连续运动图像的运动信息来估计人运动状态。然后，根据人的运动状态来计算用于保持人体平衡的遮挡骨架的可能范围。之后，根据封闭骨架的历史运动信息预测闭塞骨架的当前运动水平。最后，根据当前的运动水平和可能的范围来估计遮挡骨架的位置。

2. 发明申请

US20120139925A1 System for Estimating Location of Occluded Skeleton, Method for Estimating Location of Occluded Skeleton and Method for Reconstructing Occluded Skeleton 有权
标题翻译：闭塞骨骼位置估算系统，闭塞骨骼位置估算方法及重建闭塞骨骼的方法
公开(公告)号：US20120139925A1
公开(公告)日：2012-06-07
申请号：US13039492
申请日：2011-03-03
申请人： Ko-Shyang Wang , Yao-Yang Tsai , Chih-Pin Liao , Wen-Yang Wang , Po-Lung Chen
发明人： Ko-Shyang Wang , Yao-Yang Tsai , Chih-Pin Liao , Wen-Yang Wang , Po-Lung Chen
IPC分类号： G06T13/00
CPC分类号： G06K9/00342 , G06T7/251 , G06T2207/30196 , G06T2207/30241
摘要： A system for estimating a location of an occluded skeleton, a method for estimating a location of an occluded skeleton and a method for reconstructing an occluded skeleton are provided. The method for estimating a location of an occluded skeleton comprises the following steps: Firstly, a trace of a reference central point of a body is estimated according to a plurality of continuously moving images. Next, a human movement state is estimated according to the trace and a motion information of the continuously moving images free of skeleton occlusion. Then, a possible range of the occluded skeleton for maintaining human balance is calculated according to the human movement state. Afterwards, a current motion level of the occluded skeleton is predicted according to a historic motion information of the occluded skeleton. Lastly, the location of the occluded skeleton is estimated according to the current motion level and the possible range.
摘要翻译：提供了一种用于估计闭塞骨架的位置的系统，用于估计闭塞骨骼的位置的方法和用于重建闭塞的骨架的方法。用于估计遮挡骨架的位置的方法包括以下步骤：首先，根据多个连续运动的图像来估计身体的参考中心点的轨迹。接下来，根据轨迹和没有骨骼闭塞的连续运动图像的运动信息来估计人运动状态。然后，根据人的运动状态来计算用于保持人体平衡的遮挡骨架的可能范围。之后，根据封闭骨架的历史运动信息预测闭塞骨架的当前运动水平。最后，根据当前的运动水平和可能的范围来估计遮挡骨架的位置。

3. 发明授权

US08433131B2 Method for recognizing three-dimensional control point and computer readable medium using the same thereof 有权
标题翻译：用于识别三维控制点的方法和使用其的计算机可读介质
公开(公告)号：US08433131B2
公开(公告)日：2013-04-30
申请号：US12838710
申请日：2010-07-19
申请人： Chih-Pin Liao , Jay Huang , Yao-Yang Tsai , Ko-Shyang Wang
发明人： Chih-Pin Liao , Jay Huang , Yao-Yang Tsai , Ko-Shyang Wang
IPC分类号： G06K9/00
CPC分类号： G06T5/002 , G06T2207/10028
摘要： A method for recognizing three-dimensional control points and a computer readable medium using the same are disclosed. The method for recognizing three-dimensional control points comprises the following steps. A depth information item corresponding to an image captured by an image capturing apparatus is received. A three-dimensional block information item corresponding to a three-dimensional block is generated according to the depth information. At least one reference plane is generated according to the depth information. At least one connection group is generated according to the three-dimensional block information and the reference plane. A three-dimensional block nearest to the image capturing apparatus is selected as a control point from the connection group.
摘要翻译：公开了一种用于识别三维控制点的方法和使用其的计算机可读介质。用于识别三维控制点的方法包括以下步骤。接收与由摄像装置拍摄的图像对应的深度信息项。根据深度信息生成与三维块对应的三维块信息项。根据深度信息生成至少一个参考平面。根据三维块信息和参考平面生成至少一个连接组。从连接组中选择最靠近图像捕获装置的三维块作为控制点。

4. 发明授权

US08525879B2 Depth detection method and system using thereof 有权
标题翻译：深度检测方法及其系统使用
公开(公告)号：US08525879B2
公开(公告)日：2013-09-03
申请号：US12842277
申请日：2010-07-23
申请人： Chih-Pin Liao , Yao-Yang Tsai , Jay Huang , Ko-Shyang Wang
发明人： Chih-Pin Liao , Yao-Yang Tsai , Jay Huang , Ko-Shyang Wang
IPC分类号： H04N7/18
CPC分类号： H04N7/181
摘要： A depth detection method includes the following steps. First, first and second video data are shot. Next, the first and second video data are compared to obtain initial similarity data including r×c×d initial similarity elements, wherein r, c and d are natural numbers greater than 1. Then, an accumulation operation is performed, with each similarity element serving as a center, according to a reference mask to obtain an iteration parameter. Next, n times of iteration update operations are performed on the initial similarity data according to the iteration parameter to generate updated similarity data. Then, it is judged whether the updated similarity data satisfy a character verification condition. If yes, the updated similarity data is converted into depth distribution data.
摘要翻译：深度检测方法包括以下步骤。首先，拍摄第一和第二视频数据。接下来，比较第一和第二视频数据以获得包括r×c×d个初始相似度元素的初始相似度数据，其中r，c和d是大于1的自然数。然后，执行累加操作，其中每个相似性元素作为中心，根据参考掩码获取迭代参数。接下来，根据迭代参数对初始相似度数据执行n次迭代更新操作，以生成更新的相似度数据。然后，判断更新的相似度数据是否满足字符验证条件。如果是，则更新的相似度数据被转换成深度分布数据。

5. 发明申请

US20110317925A1 Method for Recognizing Three-Dimensional Control Point and Computer Readable Medium Using the Same Thereof 有权
标题翻译：识别三维控制点的方法及使用其的计算机可读介质
公开(公告)号：US20110317925A1
公开(公告)日：2011-12-29
申请号：US12838710
申请日：2010-07-19
申请人： Chih-Pin Liao , Jay Huang , Yao-Yang Tsai , Ko-Shyang Wang
发明人： Chih-Pin Liao , Jay Huang , Yao-Yang Tsai , Ko-Shyang Wang
IPC分类号： G06K9/46
CPC分类号： G06T5/002 , G06T2207/10028
摘要： A method for recognizing three-dimensional control points and a computer readable medium using the same are disclosed. The method for recognizing three-dimensional control points comprises the following steps. A depth information item corresponding to an image captured by an image capturing apparatus is received. A three-dimensional block information item corresponding to a three-dimensional block is generated according to the depth information. At least one reference plane is generated according to the depth information. At least one connection group is generated according to the three-dimensional block information and the reference plane. A three-dimensional block nearest to the image capturing apparatus is selected as a control point from the connection group.
摘要翻译：公开了一种用于识别三维控制点的方法和使用其的计算机可读介质。用于识别三维控制点的方法包括以下步骤。接收与由摄像装置拍摄的图像对应的深度信息项。根据深度信息生成与三维块对应的三维块信息项。根据深度信息生成至少一个参考平面。根据三维块信息和参考平面生成至少一个连接组。从连接组中选择最靠近图像捕获装置的三维块作为控制点。

6. 发明申请

US20110141274A1 Depth Detection Method and System Using Thereof 有权
标题翻译：深度检测方法及其使用的系统
公开(公告)号：US20110141274A1
公开(公告)日：2011-06-16
申请号：US12842277
申请日：2010-07-23
申请人： Chih-Pin Liao , Yao-Yang Tsai , Jay Huang , Ko-Shyang Wang
发明人： Chih-Pin Liao , Yao-Yang Tsai , Jay Huang , Ko-Shyang Wang
IPC分类号： H04N7/18
CPC分类号： H04N7/181
摘要： A depth detection method includes the following steps. First, first and second video data are shot. Next, the first and second video data are compared to obtain initial similarity data including r×c×d initial similarity elements, wherein r, c and d are natural numbers greater than 1. Then, an accumulation operation is performed, with each similarity element serving as a center, according to a reference mask to obtain an iteration parameter. Next, n times of iteration update operations are performed on the initial similarity data according to the iteration parameter to generate updated similarity data. Then, it is judged whether the updated similarity data satisfy a character verification condition. If yes, the updated similarity data is converted into depth distribution data.
摘要翻译：深度检测方法包括以下步骤。首先，拍摄第一和第二视频数据。接下来，比较第一和第二视频数据以获得包括r×c×d个初始相似度元素的初始相似度数据，其中r，c和d是大于1的自然数。然后，执行累加操作，其中每个相似性元素作为中心，根据参考掩码获取迭代参数。接下来，根据迭代参数对初始相似度数据执行n次迭代更新操作，以生成更新的相似度数据。然后，判断更新的相似度数据是否满足字符验证条件。如果是，则更新的相似度数据被转换成深度分布数据。

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