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1. 发明授权

US09645654B2 Initializing predictive information for free space gesture control and communication 有权
公开(公告)号：US09645654B2
公开(公告)日：2017-05-09
申请号：US14560923
申请日：2014-12-04
申请人： Leap Motion, Inc.
发明人： Matias Perez , Kevin Horowitz
IPC分类号： G06K9/00 , G06F3/01
CPC分类号： G06F3/017 , G06F3/011 , G06K9/00208 , G06K9/00355
摘要： The technology disclosed relates generally to image analysis and, in particular embodiments, to identifying shapes and capturing motions of objects in three-dimensional space. This is accomplished by calculation of numerous span lengths between opposing sides of a control object wherein each control object can consist of a plurality of span modes, each span mode identified by a frequency distribution of a plurality of sample points. The relevant sample points are derived from the pairing of boundary points on the opposing sides of the control object. For each span mode, span width parameters are calculated from at least part of the distribution of the span lengths, using the span width parameters to initialize at least a portion of a model of the control object, and generating predictive information from the initialized model.

2. 发明授权

US09996638B1 Predictive information for free space gesture control and communication 有权
公开(公告)号：US09996638B1
公开(公告)日：2018-06-12
申请号：US14530690
申请日：2014-10-31
申请人： Leap Motion, Inc.
发明人： David S Holz , Raffi Bedikian , Kevin Horowitz , Hua Yang
IPC分类号： G06F17/10 , G06F17/50 , G06F17/16
CPC分类号： G06F17/5009
摘要： The technology disclosed relates to simplifying updating of a predictive model using clustering observed points. In particular, it relates to observing a set of points in 3D sensory space, determining surface normal directions from the points, clustering the points by their surface normal directions and adjacency, accessing a predictive model of a hand, refining positions of segments of the predictive model, matching the clusters of the points to the segments, and using the matched clusters to refine the positions of the matched segments. It also relates to distinguishing between alternative motions between two observed locations of a control object in a 3D sensory space by accessing first and second positions of a segment of a predictive model of a control object such that motion between the first position and the second position was at least partially occluded from observation in a 3D sensory space.

3. 发明授权

US09659403B1 Initializing orientation in space for predictive information for free space gesture control and communication 有权
公开(公告)号：US09659403B1
公开(公告)日：2017-05-23
申请号：US14590983
申请日：2015-01-06
申请人： Leap Motion, Inc.
发明人： Kevin Horowitz
IPC分类号： G06T17/05 , G06K9/36 , G06T15/08 , G06T15/80 , G06K9/00
CPC分类号： G06K9/00355 , G06F3/017 , G06F3/0304 , G06T7/12 , G06T7/70 , G06T2207/30196
摘要： The technology disclosed relates to initializing orientation of a three-dimensional (3D) model of an object. In particular, it relates to accessing at least one three-dimensional (3D) model of an object and observed information of the object movable in space and determining a primary orientation parameter of the model from the observed information. The method further includes detecting contours of the object in the observed information and calculating a representative normal to the detected contours, accessing a vector representing a 3D angle from the object to a point of observation, calculating a primary orientation of the object as a cross-product of the representative normal and the vector, and using the calculated primary orientation parameter to initialize the model.

4. 发明申请

US20150153835A1 INITIALIZING PREDICTIVE INFORMATION FOR FREE SPACE GESTURE CONTROL AND COMMUNICATION 有权
标题翻译：初步确定自由空间姿态控制和通信的预测信息
公开(公告)号：US20150153835A1
公开(公告)日：2015-06-04
申请号：US14560923
申请日：2014-12-04
申请人： Leap Motion, Inc.
发明人： Matias Perez , Kevin Horowitz
IPC分类号： G06F3/01 , G06T7/00 , G06T17/00
CPC分类号： G06F3/017 , G06F3/011 , G06K9/00208 , G06K9/00355
摘要： The technology disclosed relates generally to image analysis and, in particular embodiments, to identifying shapes and capturing motions of objects in three-dimensional space. This is accomplished by calculation of numerous span lengths between opposing sides of a control object wherein each control object can consist of a plurality of span modes, each span mode identified by a frequency distribution of a plurality of sample points. The relevant sample points are derived from the pairing of boundary points on the opposing sides of the control object. For each span mode, span width parameters are calculated from at least part of the distribution of the span lengths, using the span width parameters to initialize at least a portion of a model of the control object, and generating predictive information from the initialized model.
摘要翻译：所公开的技术通常涉及图像分析，并且在特定实施例中涉及在三维空间中识别物体的形状和捕获运动。这通过计算控制对象的相对侧之间的多个跨度长度来实现，其中每个控制对象可以由多个跨度模式组成，每个跨度模式由多个采样点的频率分布识别。相关采样点是从控制对象的相对侧上的边界点的配对得出的。对于每个跨度模式，跨度宽度参数是从跨度长度的分布的至少一部分计算的，使用跨度宽度参数来初始化控制对象的模型的至少一部分，以及从初始化模型生成预测信息。

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