公开(公告)号：US10600150B2

公开(公告)日：2020-03-24

申请号：US15339017

申请日：2016-10-31

Applicant: Adobe Inc.

Inventor： Byungmoon Kim ,  Joon-Young Lee ,  Jinwoong Jung ,  Gavin Miller

IPC: G06T3/00 ,  H04N5/232 ,  G06F3/0346 ,  G06F3/01 ,  H04N5/262

Abstract: The present disclosure includes methods and systems for modifying orientation of a spherical panorama digital image based on an inertial measurement device. In particular, one or more embodiments of the disclosed systems and methods correct for tilt and/or roll in a digital camera utilized to capture a spherical panorama digital images by detecting changes in orientation to an inertial measurement device and generating an enhanced spherical panorama digital image based on the detect changes. In particular, in one or more embodiments, the disclosed systems and methods modify orientation of a spherical panorama digital image in three-dimensional space based on changes in orientation to an inertial measurement device and resample pixels based on the modified orientation to generate an enhanced spherical panorama digital image.

公开(公告)号：US10991085B2

公开(公告)日：2021-04-27

申请号：US16372202

申请日：2019-04-01

Applicant: ADOBE INC.

Inventor： Qi Sun ,  Li-Yi Wei ,  Joon-Young Lee ,  Jonathan Eisenmann ,  Jinwoong Jung ,  Byungmoon Kim

IPC: G06K9/62 ,  G06T7/00 ,  G06N3/04

Abstract: Embodiments herein describe a framework for classifying images. In some embodiments, it is determined whether an image includes synthetic image content. If it does, characteristics of the image are analyzed to determine if the image includes characteristics particular to panoramic images (e.g., possess a threshold equivalency of pixel values among the top and/or bottom boundaries of the image, or a difference between summed pixel values of the pixels comprising the right vertical boundary of the image and summed pixel values of the pixels comprising the left vertical boundary of the image being less than or equal to a threshold value). If the image includes characteristics particular to panoramic images, the image is classified as a synthetic panoramic image. If the image is determined to not include synthetic image content, a neural network is applied to the image and the image is classified as one of non-synthetic panoramic or non-synthetic non-panoramic.

公开(公告)号：US20200311901A1

公开(公告)日：2020-10-01

申请号：US16372202

申请日：2019-04-01

Applicant: ADOBE INC.

Inventor： Qi Sun ,  Li-Yi Wei ,  Joon-Young Lee ,  Jonathan Eisenmann ,  Jinwoong Jung ,  Byungmoon Kim

IPC: G06T7/00 ,  G06N3/04 ,  G06K9/62

Abstract: Embodiments herein describe a framework for classifying images. In some embodiments, it is determined whether an image includes synthetic image content. If it does, characteristics of the image are analyzed to determine if the image includes characteristics particular to panoramic images (e.g., possess a threshold equivalency of pixel values among the top and/or bottom boundaries of the image, or a difference between summed pixel values of the pixels comprising the right vertical boundary of the image and summed pixel values of the pixels comprising the left vertical boundary of the image being less than or equal to a threshold value). If the image includes characteristics particular to panoramic images, the image is classified as a synthetic panoramic image. If the image is determined to not include synthetic image content, a neural network is applied to the image and the image is classified as one of non-synthetic panoramic or non-synthetic non-panoramic.