公开(公告)号：US12046002B1

公开(公告)日：2024-07-23

申请号：US17684197

申请日：2022-03-01

Applicant: Amazon Technologies, Inc.

Inventor： Xiaohan Nie ,  Michael Thomas Pecchia ,  Leo Chan ,  Ahmed Aly Saad Ahmed ,  Muhammad Raffay Hamid ,  Sheng Liu

IPC: G06T7/73 ,  G06T7/55

CPC classification number: G06T7/73 ,  G06T7/55

Abstract: Systems, devices, and methods are provided for depth guided structure from motion. A system may obtain a plurality of image frames from a digital content item that corresponds to a scene and determine, based at least in part on a correspondence search, a set of 2-D keypoints for the plurality of image frames. A depth estimator may be used to determine a plurality of dense depth map for the plurality of image frames. The set of 2-D keypoints and the plurality of dense depth maps may be used to determine a corresponding set of depth priors. Initialization and/or depth-regularized optimization may be performed using the keypoints and depth priors.

公开(公告)号：US20240346686A1

公开(公告)日：2024-10-17

申请号：US18749025

申请日：2024-06-20

Applicant: Amazon Technologies, Inc.

Inventor： Xiaohan Nie ,  Michael Thomas Pecchia ,  Leo Chan ,  Ahmed Aly Saad Ahmed ,  Muhammad Raffay Hamid ,  Sheng Liu

IPC: G06T7/73 ,  G06T7/55

CPC classification number: G06T7/73 ,  G06T7/55

Abstract: Systems, devices, and methods are provided for depth-guided structure from motion. A system may obtain a plurality of image frames from a digital content item that corresponds to a scene and determine, based at least in part on a correspondence search, a set of 2-D keypoints for the plurality of image frames. A depth estimator may be used to determine a plurality of dense depth map for the plurality of image frames. The set of 2-D keypoints and the plurality of dense depth maps may be used to determine a corresponding set of depth priors. Initialization and/or depth-regularized optimization may be performed using the keypoints and depth priors.