公开(公告)号：US20140267618A1

公开(公告)日：2014-09-18

申请号：US13955439

申请日：2013-07-31

Applicant: Google Inc.

Inventor： Carlos Hernandez Esteban ,  Steven Maxwell Seitz ,  Sameer Agarwal ,  Simon Fuhrmann

IPC: H04N13/02

CPC classification number: H04N13/204 ,  G06T5/003 ,  H04N5/2226 ,  H04N5/23232 ,  H04N13/122 ,  H04N13/221 ,  H04N13/271 ,  H04N2013/0081 ,  H04N2213/003

Abstract: Systems and methods for generating depth data from images captured by a camera-enabled mobile device are provided. The depth data can be used to refocus one or more portions of an image captured by the camera-enabled mobile device. A user can select different portions of the captured image to bring different portions of the image into focus and out of focus. Depth data for an image can be generated from a reference image and a sequence of images captured by the image capture device. The sequences of images can be acquired using a suitable camera motion. A refocused image can be generated with portions of the image out of focus relative to the reference image.

Abstract translation: 提供了由支持相机的移动设备捕获的图像生成深度数据的系统和方法。 深度数据可以用于重新聚焦由启用相机的移动设备捕获的图像的一个或多个部分。 用户可以选择拍摄图像的不同部分，以使图像的不同部分成为焦点和焦点。 图像的深度数据可以从参考图像和由图像捕获装置拍摄的图像序列生成。 可以使用合适的相机运动来获取图像的序列。 可以产生重新聚焦的图像，其中图像的部分相对于参考图像失焦。

公开(公告)号：US09654761B1

公开(公告)日：2017-05-16

申请号：US13955560

申请日：2013-07-31

Applicant: Google Inc.

Inventor： Carlos Hernandez Esteban ,  Steven Maxwell Seitz ,  Sameer Agarwal ,  Simon Fuhrmann

IPC: H04N7/18 ,  H04N13/02 ,  H04N5/222 ,  H04N13/00

CPC classification number: H04N13/204 ,  G06T5/003 ,  H04N5/2226 ,  H04N5/23232 ,  H04N13/122 ,  H04N13/221 ,  H04N13/271 ,  H04N2013/0081 ,  H04N2213/003

Abstract: Systems and methods for the generation of depth data for a scene using images captured by a camera-enabled mobile device are provided. According to a particular implementation of the present disclosure, a reference image can be captured of a scene with an image capture device, such as an image capture device integrated with a camera-enabled mobile device. A short video or sequence of images can then be captured from multiple different poses relative to the reference scene. The captured image and video can then be processed using computer vision techniques to produce an image with associated depth data, such as an RGBZ image.