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1. 发明申请

US20110156999A1 GESTURE RECOGNITION METHODS AND SYSTEMS 有权
标题翻译：识别方法和系统
公开(公告)号：US20110156999A1
公开(公告)日：2011-06-30
申请号：US12813464
申请日：2010-06-10
申请人： Cheng-Feng Wu , Cheng-Yuan Tang , Shih-Pin Chao
发明人： Cheng-Feng Wu , Cheng-Yuan Tang , Shih-Pin Chao
IPC分类号： G09G5/00
CPC分类号： G06K9/00335 , G06F3/017 , G06F3/04883 , G06K9/48
摘要： Gesture recognition methods and systems are provided. First, a plurality of gesture templates are provided, wherein each gesture template defines a first gesture characteristic and a corresponding specific gesture. Then, a plurality of images is obtained, and a multi-background model is generated accordingly. At least one object image is obtained according to the multi-background model, wherein the object image includes at least an object having a plurality of edges. The included angles of any two adjacent edges of the object image are gathered as statistics to obtain a second gesture characteristic corresponding to the object image. The second gesture characteristic of the object image is compared with the first gesture characteristic of each gesture template. The specific gesture corresponding to the first gesture characteristic is obtained, when the second gesture characteristic is similar to the first gesture characteristic.
摘要翻译：提供手势识别方法和系统。首先，提供多个手势模板，其中每个手势模板定义第一手势特征和对应的特定手势。然后，获得多个图像，并且相应地生成多背景模型。根据多背景模型获得至少一个对象图像，其中对象图像至少包括具有多个边缘的对象。将对象图像的任意两个相邻边缘的夹角作为统计信息进行收集，以获得与对象图像对应的第二手势特征。将对象图像的第二手势特征与每个手势模板的第一手势特征进行比较。当第二手势特征类似于第一手势特征时，获得对应于第一手势特征的特定手势。

2. 发明授权

US07751613B2 Method for rapidly establishing image space relation using plane filtering constraint 有权
标题翻译：使用平面滤波约束快速建立图像空间关系的方法
公开(公告)号：US07751613B2
公开(公告)日：2010-07-06
申请号：US11393190
申请日：2006-03-29
申请人： Hong-Long Chou , Cheng-Yuan Tang , De-Jin Shau , Fu-Jen Hsiao
发明人： Hong-Long Chou , Cheng-Yuan Tang , De-Jin Shau , Fu-Jen Hsiao
IPC分类号： G06K9/00 , G06K9/36 , G06T15/00 , G06T17/00 , G06T15/10
CPC分类号： G06K9/209 , G06T7/33
摘要： A method for rapidly building image space relation using plane filtering limitation is provided. The method comprises first getting a plurality of continuous image data taken from different shooting angles. Then, a plurality of feature points of the image data is initialized. Next, a number of feature points of those image data is randomly extracted and compared to determine whether the compared feature points are coplanar or not. When the selected feature points are not coplanar, an epipolar fundamental matrix is calculated according to the selected feature points. On the contrary, when the selected feature points are coplanar, a medium error value for all the feature points is set as a maximum value.
摘要翻译：提供了使用平面滤波限制快速构建图像空间关系的方法。该方法包括首先获得从不同拍摄角度拍摄的多个连续图像数据。然后，对图像数据的多个特征点进行初始化。接下来，随机地提取和比较这些图像数据的多个特征点，以确定比较的特征点是否是共面的。当所选择的特征点不共面时，根据所选择的特征点计算出一个对极基本矩阵。相反，当所选择的特征点是共面时，将所有特征点的中等误差值设定为最大值。

3. 发明授权

US08180145B2 Method for producing image with depth by using 2D images 有权
标题翻译：使用2D图像生成深度图像的方法
公开(公告)号：US08180145B2
公开(公告)日：2012-05-15
申请号：US12262158
申请日：2008-10-30
申请人： Jeng-Feng Wu , Wen-Chao Chen , Cheng-Yuan Tang
发明人： Jeng-Feng Wu , Wen-Chao Chen , Cheng-Yuan Tang
IPC分类号： G06K9/00
CPC分类号： G06T7/596 , G06T2207/10012
摘要： A method for producing an image with depth by using 2D image includes obtaining a set of internal parameters of a camera. The camera takes at least a first and a second 2D images with a small shift. The first 2D image has N depths, and N≧2. Several sets of external parameters of the camera corresponding to the 2D images are estimated. A 3D information respectively corresponding to the N depths of the first 2D image at each pixel or block is calculated. A proper depth of each pixel or image block is determined. Through the internal parameters, the external parameters, and the N depths, each pixel or image block of the first 2D image is projected onto N positions of the second 2D image, so as to perform a matching comparison analysis with the second 2D image, thereby determining the proper depth from the N depths.
摘要翻译：通过使用2D图像来生成具有深度的图像的方法包括获得相机的一组内部参数。相机拍摄至少具有小偏移的第一和第二2D图像。第一2D图像具有N个深度，N≥2。估计对应于2D图像的摄像机的几组外部参数。计算分别对应于每个像素或块处的第一2D图像的N个深度的3D信息。确定每个像素或图像块的适当深度。通过内部参数，外部参数和N个深度将第一2D图像的每个像素或图像块投影到第二2D图像的N个位置上，以便与第二2D图像进行匹配比较分析，由此从N个深度确定适当的深度。

4. 发明申请

US20070058855A1 Method for rapidly establishing image space relation using plane filtering constraint 有权
标题翻译：使用平面滤波约束快速建立图像空间关系的方法
公开(公告)号：US20070058855A1
公开(公告)日：2007-03-15
申请号：US11393190
申请日：2006-03-29
申请人： Hong-Long Chou , Cheng-Yuan Tang , De-Jin Shau , Fu-Jen Hsiao
发明人： Hong-Long Chou , Cheng-Yuan Tang , De-Jin Shau , Fu-Jen Hsiao
IPC分类号： G06K9/00
CPC分类号： G06K9/209 , G06T7/33
摘要： A method for rapidly building image space relation using plane filtering limitation is provided. The method comprises first getting a plurality of continuous image data taken from different shooting angles. Then, a plurality of feature points of the image data is initialized. Next, a number of feature points of those image data is randomly extracted and compared to determine whether the compared feature points are coplanar or not. When the selected feature points are not coplanar, an epipolar fundamental matrix is calculated according to the selected feature points. On the contrary, when the selected feature points are coplanar, a medium error value for all the feature points is set as a maximum value.
摘要翻译：提供了使用平面滤波限制快速构建图像空间关系的方法。该方法包括首先获得从不同拍摄角度拍摄的多个连续图像数据。然后，对图像数据的多个特征点进行初始化。接下来，随机地提取和比较这些图像数据的多个特征点，以确定比较的特征点是否是共面的。当所选择的特征点不共面时，根据所选择的特征点计算出一个对极基本矩阵。相反，当所选择的特征点是共面时，将所有特征点的中等误差值设定为最大值。

5. 发明申请

US20100194679A1 GESTURE RECOGNITION SYSTEM AND METHOD THEREOF 有权
标题翻译：识别识别系统及其方法
公开(公告)号：US20100194679A1
公开(公告)日：2010-08-05
申请号：US12545340
申请日：2009-08-21
申请人： Jun Mein Wu , Wen Shiou Luo , Wei Yih Ho , Chia Chen Chen , Cheng Yuan Tang
发明人： Jun Mein Wu , Wen Shiou Luo , Wei Yih Ho , Chia Chen Chen , Cheng Yuan Tang
IPC分类号： G06K9/64 , G09G5/00 , G06T7/00
CPC分类号： G06K9/00375
摘要： A gesture recognition system includes an image pick-up device, a processor, an operation engine, an optimal template selection means, and a display terminal. The image pick-up device is for capturing an image containing a natural gesture. The processor is for finding out a skin edge of a skin part from the image, and then classifying the skin edge into multiple edge parts at different angles. The operation engine has multiple parallel operation units and multiple gesture template libraries of different angle classes. These parallel operation units respectively find out gesture templates most resembling the edge parts in the gesture template libraries of different angle classes. The optimal template selection means selects an optimal gesture template from the resembling gesture templates found out by the parallel operation units. The display terminal is for displaying an image of the optimal gesture template. Thereby, marker-less and real-time gesture recognition is achieved.
摘要翻译：手势识别系统包括图像拾取装置，处理器，操作引擎，最佳模板选择装置和显示终端。图像拾取装置用于捕获包含自然手势的图像。处理器用于从图像中发现皮肤部分的皮肤边缘，然后将皮肤边缘分成不同角度的多个边缘部分。操作引擎具有多个并行操作单元和多个不同角度类的多个手势模板库。这些并行操作单元分别找出最类似于不同角度类的手势模板库中的边缘部分的手势模板。最佳模板选择装置从由并行操作单元发现的类似手势模板中选择最佳手势模板。显示终端用于显示最佳手势模板的图像。从而实现无标记和实时手势识别。

6. 发明申请

US20090169057A1 METHOD FOR PRODUCING IMAGE WITH DEPTH BY USING 2D IMAGES 有权
标题翻译：使用2D图像生成深度图像的方法
公开(公告)号：US20090169057A1
公开(公告)日：2009-07-02
申请号：US12262158
申请日：2008-10-30
申请人： Jeng-Feng Wu , Wen-Chao Chen , Cheng-Yuan Tang
发明人： Jeng-Feng Wu , Wen-Chao Chen , Cheng-Yuan Tang
IPC分类号： G06K9/00
CPC分类号： G06T7/596 , G06T2207/10012
摘要： A method for producing an image with depth by using 2D image includes obtaining a set of internal parameters of a camera. The camera takes at least a first and a second 2D images with a small shift. The first 2D image has N depths, and N≧2. Several sets of external parameters of the camera corresponding to the 2D images are estimated. A 3D information respectively corresponding to the N depths of the first 2D image at each pixel or block is calculated. A proper depth of each pixel or image block is determined. Through the internal parameters, the external parameters, and the N depths, each pixel or image block of the first 2D image is projected onto N positions of the second 2D image, so as to perform a matching comparison analysis with the second 2D image, thereby determining the proper depth from the N depths.
摘要翻译：通过使用2D图像来生成具有深度的图像的方法包括获得相机的一组内部参数。相机拍摄至少具有小偏移的第一和第二2D图像。第一个2D图像有N个深度，N> = 2。估计对应于2D图像的摄像机的几组外部参数。计算分别对应于每个像素或块处的第一2D图像的N个深度的3D信息。确定每个像素或图像块的适当深度。通过内部参数，外部参数和N个深度将第一2D图像的每个像素或图像块投影到第二2D图像的N个位置上，以便与第二2D图像进行匹配比较分析，由此从N个深度确定适当的深度。

7. 发明申请

US20080170799A1 METHOD FOR CALIBRATING A RESPONSE CURVE OF A CAMERA 审中-公开
标题翻译：用于校准摄像机的响应曲线的方法
公开(公告)号：US20080170799A1
公开(公告)日：2008-07-17
申请号：US11944414
申请日：2007-11-22
申请人： Wen-Chao Chen , Cheng-Yuan Tang
发明人： Wen-Chao Chen , Cheng-Yuan Tang
IPC分类号： G06K9/40
CPC分类号： G06K9/209 , G06T5/009 , G06T5/40 , G06T7/33 , G06T2207/10016 , G06T2207/20021 , G06T2207/20208
摘要： A method for calibrating a response curve of a camera is provided. A homography relationship of an image sequence captured by the camera is calculated using a coplanar information including feature correspondence blocks of the image sequence. An intensity mapping function is then obtained from the intensity information of the correspondence blocks according to the homography relationship. The calculation for obtaining the intensity mapping function is significantly reduced by focusing on the correspondence blocks, which can also avoid the problem of outliers.
摘要翻译：提供了一种用于校准相机的响应曲线的方法。使用包括图像序列的特征对应块的共面信息来计算由照相机拍摄的图像序列的单应性关系。然后根据单应性关系从对应块的强度信息获得强度映射函数。通过关注对应块来大大减少获得强度映射函数的计算，这也可以避免异常值问题。

8. 发明授权

US08417026B2 Gesture recognition methods and systems 有权
标题翻译：手势识别方法和系统
公开(公告)号：US08417026B2
公开(公告)日：2013-04-09
申请号：US12813464
申请日：2010-06-10
申请人： Cheng-Feng Wu , Cheng-Yuan Tang , Shih-Pin Chao
发明人： Cheng-Feng Wu , Cheng-Yuan Tang , Shih-Pin Chao
IPC分类号： G06K9/00
CPC分类号： G06K9/00335 , G06F3/017 , G06F3/04883 , G06K9/48
摘要： Gesture recognition methods and systems are provided. First, a plurality of gesture templates are provided, wherein each gesture template defines a first gesture characteristic and a corresponding specific gesture. Then, a plurality of images is obtained, and a multi-background model is generated accordingly. At least one object image is obtained according to the multi-background model, wherein the object image includes at least an object having a plurality of edges. The included angles of any two adjacent edges of the object image are gathered as statistics to obtain a second gesture characteristic corresponding to the object image. The second gesture characteristic of the object image is compared with the first gesture characteristic of each gesture template. The specific gesture corresponding to the first gesture characteristic is obtained, when the second gesture characteristic is similar to the first gesture characteristic.
摘要翻译：提供手势识别方法和系统。首先，提供多个手势模板，其中每个手势模板定义第一手势特征和对应的特定手势。然后，获得多个图像，并且相应地生成多背景模型。根据多背景模型获得至少一个对象图像，其中对象图像至少包括具有多个边缘的对象。将对象图像的任意两个相邻边缘的夹角作为统计信息进行收集，以获得与对象图像对应的第二手势特征。将对象图像的第二手势特征与每个手势模板的第一手势特征进行比较。当第二手势特征类似于第一手势特征时，获得对应于第一手势特征的特定手势。

9. 发明授权

US08269722B2 Gesture recognition system and method thereof 有权
标题翻译：手势识别系统及其方法
公开(公告)号：US08269722B2
公开(公告)日：2012-09-18
申请号：US12545340
申请日：2009-08-21
申请人： Jun-Mein Wu , Wen-Shiou Luo , Wei-Yih Ho , Chia-Chen Chen , Cheng-Yuan Tang
发明人： Jun-Mein Wu , Wen-Shiou Luo , Wei-Yih Ho , Chia-Chen Chen , Cheng-Yuan Tang
IPC分类号： G09G5/00 , G06K9/62 , G06K9/64
CPC分类号： G06K9/00375
摘要： A gesture recognition system includes an image pick-up device, a processor, an operation engine, an optimal template selection means, and a display terminal. The image pick-up device is for capturing an image containing a natural gesture. The processor is for finding out a skin edge of a skin part from the image, and then classifying the skin edge into multiple edge parts at different angles. The operation engine has multiple parallel operation units and multiple gesture template libraries of different angle classes. These parallel operation units respectively find out gesture templates most resembling the edge parts in the gesture template libraries of different angle classes. The optimal template selection means selects an optimal gesture template from the resembling gesture templates found out by the parallel operation units. The display terminal is for displaying an image of the optimal gesture template. Thereby, marker-less and real-time gesture recognition is achieved.
摘要翻译：手势识别系统包括图像拾取装置，处理器，操作引擎，最佳模板选择装置和显示终端。图像拾取装置用于捕获包含自然手势的图像。处理器用于从图像中发现皮肤部分的皮肤边缘，然后将皮肤边缘分成不同角度的多个边缘部分。操作引擎具有多个并行操作单元和多个不同角度类的多个手势模板库。这些并行操作单元分别找出最类似于不同角度类的手势模板库中的边缘部分的手势模板。最佳模板选择装置从由并行操作单元发现的类似手势模板中选择最佳手势模板。显示终端用于显示最佳手势模板的图像。从而实现无标记和实时手势识别。

10. 发明授权

US08009899B2 Image filling methods 有权
标题翻译：图像填充方法
公开(公告)号：US08009899B2
公开(公告)日：2011-08-30
申请号：US11812942
申请日：2007-06-22
申请人： Chia-Chen Chen , Cheng-Yuan Tang , Yi-Leh Wu , Chi-Tsung Liu
发明人： Chia-Chen Chen , Cheng-Yuan Tang , Yi-Leh Wu , Chi-Tsung Liu
IPC分类号： G06K9/00
CPC分类号： G06K9/209 , G06T5/005 , G06T7/97 , G06T11/40
摘要： Image filling methods. A plurality of images corresponding to a target object or a scene are captured at various angles. An epipolar geometry relationship between a filling source image and a specific image within the images is calculated. The filling source image and the specific image are rectified according to the epipolar geometry relationship. At least one filling target area in the rectified specific image is patched according to the rectified filling source image.
摘要翻译：图像填充方法。以各种角度捕获与目标对象或场景对应的多个图像。计算图像内的填充源图像和特定图像之间的对极几何关系。填充源图像和特定图像根据对极几何关系进行纠正。根据校正后的填充源图像对修整后的特定图像中的至少一个填充目标区域进行修补。

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