公开(公告)号：US09542585B2

公开(公告)日：2017-01-10

申请号：US13911983

申请日：2013-06-06

Applicant: Apple Inc.

Inventor： George Williams ,  Benjamin Olson ,  Sebastien Beysserie ,  Ethan Tira-Thompson ,  Jianping Zhou ,  Claus Molgaard ,  Todd Sachs ,  Rudolph van der Merwe ,  Marco Zuliani

IPC: G06K7/14 ,  G06T7/00 ,  G06T7/20 ,  G06K7/10 ,  G06K9/32 ,  G06K9/62

CPC classification number: G06K7/1443 ,  G06K7/10722 ,  G06K9/3233 ,  G06K9/6203 ,  G06K2009/3291 ,  G06K2209/21 ,  G06T7/20

Abstract: A method to improve the efficiency of the detection and tracking of machine-readable objects is disclosed. The properties of image frames may be pre-evaluated to determine whether a machine-readable object, even if present in the image frames, would be likely to be detected. After it is determined that one or more image frames have properties that may enable the detection of a machine-readable object, image data may be evaluated to detect the machine-readable object. When a machine-readable object is detected, the location of the machine-readable object in a subsequent frame may be determined based on a translation metric between the image frame in which the object was identified and the subsequent frame rather than a detection of the object in the subsequent frame. The translation metric may be identified based on an evaluation of image data and/or motion sensor data associated with the image frames.

Abstract translation: 公开了一种提高机器可读对象检测和跟踪效率的方法。 可以预先评估图像帧的属性，以确定即使存在于图像帧中的机器可读对象是否可能被检测到。 在确定一个或多个图像帧具有能够检测机器可读对象的属性之后，可以评估图像数据以检测机器可读对象。 当检测到机器可读对象时，可以基于在其中识别对象的图像帧与后续帧之间的转换度量而不是对象的检测来确定随后帧中的机器可读对象的位置 在后续的框架。 可以基于与图像帧相关联的图像数据和/或运动传感器数据的评估来识别翻译度量。

公开(公告)号：US20140363044A1

公开(公告)日：2014-12-11

申请号：US13911983

申请日：2013-06-06

Applicant: Apple Inc.

Inventor： George Williams ,  Benjamin Olson ,  Sebastien Beysserie ,  Ethan Tira-Thompson ,  Jianping Zhou ,  Claus Molgaard ,  Todd Sachs ,  Rudolph van der Merwe ,  Marco Zuliani

IPC: G06K9/00

CPC classification number: G06K7/1443 ,  G06K7/10722 ,  G06K9/3233 ,  G06K9/6203 ,  G06K2009/3291 ,  G06K2209/21 ,  G06T7/20

Abstract: A method to improve the efficiency of the detection and tracking of machine-readable objects is disclosed. The properties of image frames may be pre-evaluated to determine whether a machine-readable object, even if present in the image frames, would be likely to be detected. After it is determined that one or more image frames have properties that may enable the detection of a machine-readable object, image data may be evaluated to detect the machine-readable object. When a machine-readable object is detected, the location of the machine-readable object in a subsequent frame may be determined based on a translation metric between the image frame in which the object was identified and the subsequent frame rather than a detection of the object in the subsequent frame. The translation metric may be identified based on an evaluation of image data and/or motion sensor data associated with the image frames.

Abstract translation: 公开了一种提高机器可读对象检测和跟踪效率的方法。 可以预先评估图像帧的属性，以确定即使存在于图像帧中的机器可读对象是否可能被检测到。 在确定一个或多个图像帧具有能够检测机器可读对象的属性之后，可以评估图像数据以检测机器可读对象。 当检测到机器可读对象时，可以基于在其中识别对象的图像帧与后续帧之间的转换度量而不是对象的检测来确定随后帧中的机器可读对象的位置 在后续的框架。 可以基于与图像帧相关联的图像数据和/或运动传感器数据的评估来识别翻译度量。