公开(公告)号：US11145075B2

公开(公告)日：2021-10-12

申请号：US16767401

申请日：2019-10-04

Applicant: Google LLC

Inventor： Julien Valentin ,  Onur G. Guleryuz ,  Mira Leung ,  Maksym Dzitsiuk ,  Jose Pascoal ,  Mirko Schmidt ,  Christoph Rhemann ,  Neal Wadhwa ,  Eric Turner ,  Sameh Khamis ,  Adarsh Prakash Murthy Kowdle ,  Ambrus Csaszar ,  João Manuel Castro Afonso ,  Jonathan T. Barron ,  Michael Schoenberg ,  Ivan Dryanovski ,  Vivek Verma ,  Vladimir Tankovich ,  Shahram Izadi ,  Sean Ryan Francesco Fanello ,  Konstantine Nicholas John Tsotsos

IPC: G06T7/579 ,  G06T19/00 ,  G06T7/571

Abstract: A handheld user device includes a monocular camera to capture a feed of images of a local scene and a processor to select, from the feed, a keyframe and perform, for a first image from the feed, stereo matching using the first image, the keyframe, and a relative pose based on a pose associated with the first image and a pose associated with the keyframe to generate a sparse disparity map representing disparities between the first image and the keyframe. The processor further is to determine a dense depth map from the disparity map using a bilateral solver algorithm, and process a viewfinder image generated from a second image of the feed with occlusion rendering based on the depth map to incorporate one or more virtual objects into the viewfinder image to generate an AR viewfinder image. Further, the processor is to provide the AR viewfinder image for display.

公开(公告)号：US10860889B2

公开(公告)日：2020-12-08

申请号：US16246280

申请日：2019-01-11

Applicant: Google LLC

Inventor： Yael Pritch Knaan ,  Marc Levoy ,  Neal Wadhwa ,  Rahul Garg ,  Sameer Ansari ,  Jiawen Chen

IPC: G06K9/62

Abstract: Apparatus and methods related to using machine learning to determine depth maps for dual pixel images of objects are provided. A computing device can receive a dual pixel image of at least a foreground object. The dual pixel image can include a plurality of dual pixels. A dual pixel of the plurality of dual pixels can include a left-side pixel and a right-side pixel that both represent light incident on a single dual pixel element used to capture the dual pixel image. The computing device can be used to train a machine learning system to determine a depth map associated with the dual pixel image. The computing device can provide the trained machine learning system.