公开(公告)号：US20130129230A1

公开(公告)日：2013-05-23

申请号：US13300542

申请日：2011-11-18

申请人： Jamie Daniel Joseph Shotton ,  Andrew William Fitzgibbon ,  Jonathan James Taylor ,  Matthew Darius Cook

发明人： Jamie Daniel Joseph Shotton ,  Andrew William Fitzgibbon ,  Jonathan James Taylor ,  Matthew Darius Cook

IPC分类号： G06K9/68

CPC分类号： G06K9/00214 ,  G06T7/75 ,  G06T17/00

摘要： Computing pose and/or shape of a modifiable entity is described. In various embodiments a model of an entity (such as a human hand, a golf player holding a golf club, an animal, a body organ) is fitted to an image depicting an example of the entity in a particular pose and shape. In examples, an optimization process finds values of pose and/or shape parameters that when applied to the model explain the image data well. In examples the optimization process is influenced by correspondences between image elements and model points obtained from a regression engine where the regression engine may be a random decision forest. For example, the random decision forest may take elements of the image and calculate candidate correspondences between those image elements and model points. In examples the model, pose and correspondences may be used for control of various applications including computer games, medical systems, augmented reality.

摘要翻译： 描述可修改实体的计算姿势和/或形状。 在各种实施例中，将实体（诸如人的手，持有高尔夫球杆，高尔夫球杆，动物，身体器官的高尔夫球手）的模型安装在描绘特定姿势和形状的实体的示例的图像上。 在示例中，优化过程找到姿态和/或形状参数的值，当应用于模型时，可以很好地解释图像数据。 在示例中，优化过程受图像元素和从回归引擎获得的模型点之间的对应性的影响，回归引擎可以是随机决策树。 例如，随机决策树可以采用图像的元素，并计算这些图像元素和模型点之间的候选对应关系。 在示例中，模型，姿态和对应可以用于控制各种应用，包括计算机游戏，医疗系统，增强现实。

公开(公告)号：US08724906B2

公开(公告)日：2014-05-13

申请号：US13300542

申请日：2011-11-18

申请人： Jamie Daniel Joseph Shotton ,  Andrew William Fitzgibbon ,  Jonathan James Taylor ,  Matthew Darius Cook

发明人： Jamie Daniel Joseph Shotton ,  Andrew William Fitzgibbon ,  Jonathan James Taylor ,  Matthew Darius Cook

IPC分类号： G06K9/68 ,  G06K9/62

CPC分类号： G06K9/00214 ,  G06T7/75 ,  G06T17/00

摘要： Computing pose and/or shape of a modifiable entity is described. In various embodiments a model of an entity (such as a human hand, a golf player holding a golf club, an animal, a body organ) is fitted to an image depicting an example of the entity in a particular pose and shape. In examples, an optimization process finds values of pose and/or shape parameters that when applied to the model explain the image data well. In examples the optimization process is influenced by correspondences between image elements and model points obtained from a regression engine where the regression engine may be a random decision forest. For example, the random decision forest may take elements of the image and calculate candidate correspondences between those image elements and model points. In examples the model, pose and correspondences may be used for control of various applications including computer games, medical systems, augmented reality.

摘要翻译： 描述可修改实体的计算姿势和/或形状。 在各种实施例中，将实体（诸如人的手，持有高尔夫球杆，高尔夫球杆，动物，身体器官的高尔夫球手）的模型安装在描绘特定姿势和形状的实体的示例的图像上。 在示例中，优化过程找到姿态和/或形状参数的值，当应用于模型时，可以很好地解释图像数据。 在示例中，优化过程受图像元素和从回归引擎获得的模型点之间的对应性的影响，回归引擎可以是随机决策树。 例如，随机决策树可以采用图像的元素，并计算这些图像元素和模型点之间的候选对应关系。 在示例中，模型，姿态和对应可以用于控制各种应用，包括计算机游戏，医疗系统，增强现实。