-
公开(公告)号:US08269842B2
公开(公告)日:2012-09-18
申请号:US12137202
申请日:2008-06-11
申请人: Kongqiao Wang , Liang Zhang , Yuanchun Shi
发明人: Kongqiao Wang , Liang Zhang , Yuanchun Shi
IPC分类号: H04N5/228
CPC分类号: G06F3/017 , G06F3/0304 , G06F3/0346
摘要: A system and method for using images captured from a digital camera to control navigation through a three-dimensional user interface. The sequence of images may be examined to identify feature points to be tracked through successive frames of the images captured by the camera. A plurality of classifiers may be used to discern shift from rotation gestures, based on expected behavior of feature points in the image when the camera is shifted or rotated in position. The various classifiers may generate voting values for shift and rotation gestures, and the system can use historical gesture information to assist in categorizing a current gesture.
摘要翻译: 一种用于使用从数码相机捕获的图像来控制通过三维用户界面的导航的系统和方法。 可以检查图像序列以识别通过由相机捕获的图像的连续帧来跟踪的特征点。 当照相机在位置移动或旋转时,可以使用多个分类器来基于图像中的特征点的预期行为来辨别从旋转手势的偏移。 各种分类器可以产生移动和旋转手势的投票值,并且系统可以使用历史手势信息来辅助对当前手势进行分类。
-
公开(公告)号:US20090309765A1
公开(公告)日:2009-12-17
申请号:US12137202
申请日:2008-06-11
申请人: Kongqiao Wang , Liang Zhang , Yuanchun Shi
发明人: Kongqiao Wang , Liang Zhang , Yuanchun Shi
IPC分类号: H03K17/94
CPC分类号: G06F3/017 , G06F3/0304 , G06F3/0346
摘要: A system and method for using images captured from a digital camera to control navigation through a three-dimensional user interface. The sequence of images may be examined to identify feature points to be tracked through successive frames of the images captured by the camera. A plurality of classifiers may be used to discern shift from rotation gestures, based on expected behavior of feature points in the image when the camera is shifted or rotated in position. The various classifiers may generate voting values for shift and rotation gestures, and the system can use historical gesture information to assist in categorizing a current gesture.
摘要翻译: 一种用于使用从数码相机捕获的图像来控制通过三维用户界面的导航的系统和方法。 可以检查图像序列以识别通过由相机捕获的图像的连续帧来跟踪的特征点。 当照相机在位置移动或旋转时,可以使用多个分类器来基于图像中的特征点的预期行为来辨别从旋转手势的偏移。 各种分类器可以产生移动和旋转手势的投票值,并且系统可以使用历史手势信息来辅助对当前手势进行分类。
-