公开(公告)号：US08760500B1

公开(公告)日：2014-06-24

申请号：US14061423

申请日：2013-10-23

Applicant: Google Inc.

Inventor： David Gallup ,  Fu Yu ,  Steven Maxwell Seitz

IPC: H04N13/02 ,  H04N7/18 ,  H04N13/00

CPC classification number: H04N13/271 ,  G06T7/579 ,  G06T2207/10016 ,  G06T2207/30244

Abstract: Aspects of the disclosure relate generally to generating depth data from a video. As an example, one or more computing devices may receive an initialization request for a still image capture mode. After receiving the request to initialize the still image capture mode, the one or more computing devices may automatically begin to capture a video including a plurality of image frames. The one or more computing devices track features between a first image frame of the video and each of the other image frames of the video. Points corresponding to the tracked features may be generated by the one or more computing devices using a set of assumptions. The assumptions may include a first assumption that there is no rotation and a second assumption that there is no translation. The one or more computing devices then generate a depth map based at least in part on the points.

Abstract translation: 本公开的方面通常涉及从视频生成深度数据。 作为示例，一个或多个计算设备可以接收静态图像捕获模式的初始化请求。 在接收到初始化静止图像捕获模式的请求之后，一个或多个计算设备可以自动开始捕获包括多个图像帧的视频。 一个或多个计算设备跟踪视频的第一图像帧和视频的每个其他图像帧之间的特征。 与被跟踪的特征相对应的点可以由一个或多个计算设备使用一组假设来生成。 这些假设可以包括没有旋转的第一假设和没有平移的第二假设。 然后，一个或多个计算设备至少部分地基于点生成深度图。

公开(公告)号：US20150109416A1

公开(公告)日：2015-04-23

申请号：US14278471

申请日：2014-05-15

Applicant: Google Inc.

Inventor： David Gallup ,  Fu Yu ,  Steven Maxwell Seitz

IPC: H04N13/02

Abstract: Aspects of the disclosure relate generally to generating depth data from a video. As an example, one or more computing devices may receive an initialization request for a still image capture mode. After receiving the request to initialize the still image capture mode, the one or more computing devices may automatically begin to capture a video including a plurality of image frames. The one or more computing devices track features between a first image frame of the video and each of the other image frames of the video. Points corresponding to the tracked features may be generated by the one or more computing devices using a set of assumptions. The assumptions may include a first assumption that there is no rotation and a second assumption that there is no translation. The one or more computing devices then generate a depth map based at least in part on the points.

Abstract translation: 本公开的方面通常涉及从视频生成深度数据。 作为示例，一个或多个计算设备可以接收静态图像捕获模式的初始化请求。 在接收到初始化静止图像捕获模式的请求之后，一个或多个计算设备可以自动开始捕获包括多个图像帧的视频。 一个或多个计算设备跟踪视频的第一图像帧和视频的每个其他图像帧之间的特征。 与被跟踪的特征相对应的点可以由一个或多个计算设备使用一组假设来生成。 这些假设可以包括没有旋转的第一假设和没有平移的第二假设。 然后，一个或多个计算设备至少部分地基于点生成深度图。