公开(公告)号：US20230306637A1

公开(公告)日：2023-09-28

申请号：US17656796

申请日：2022-03-28

Applicant: ADOBE INC.

Inventor： Jianming ZHANG ,  Linyi JIN ,  Kevin MATZEN ,  Oliver WANG ,  Yannick HOLD-GEOFFROY

IPC: G06T7/80 ,  G06T9/00 ,  G06T11/00 ,  G06N3/04

CPC classification number: G06T7/80 ,  G06T9/002 ,  G06T11/00 ,  G06N3/0454 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V10/764

Abstract: Systems and methods for image dense field based view calibration are provided. In one embodiment, an input image is applied to a dense field machine learning model that generates a vertical vector dense field (VVF) and a latitude dense field (LDF) from the input image. The VVF comprises a vertical vector of a projected vanishing point direction for each of the pixels of the input image. The latitude dense field (LDF) comprises a projected latitude value for the pixels of the input image. A dense field map for the input image comprising the VVF and the LDF can be directly or indirectly used for a variety of image processing manipulations. The VVF and LDF can be optionally used to derive traditional camera calibration parameters from uncontrolled images that have undergone undocumented or unknown manipulations.