Title:
METHOD AND APPARATUS FOR ESTIMATING DEPTH OF FIELD OF IMAGE, AND TERMINAL DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/206020
Kind Code:
A1
Abstract:
The present application relates to the technical field of image processing. Provided are a method and apparatus for estimating the depth of field of an image, and a terminal device and a storage medium. In the present application, during the optimization and update of parameters of a depth estimation network used, a camera pose estimation network is used to predict a camera pose vector of an input sample image sequence, wherein the sample image sequence comprises a target frame image and a reference frame image; then, according to a depth-of-field image of the target frame image that is predicted by the depth estimation network, the camera pose vector, the reference frame image, and internal parameters of a corresponding camera, a reconstructed image corresponding to the target frame image is generated; next, a corresponding loss function during image reconstruction is calculated according to the target frame image and the reconstructed image; and finally, an objective function is constructed on the basis of the loss function, and parameters of the depth estimation network are updated on the basis of the objective function. In this manner, image information included in a target frame image and a reference frame image can be fully mined, and the cost of sample data collection is reduced.
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Inventors:
WANG FEI (CN)
CHENG JUN (CN)
LIU PENGLEI (CN)
CHENG JUN (CN)
LIU PENGLEI (CN)
Application Number:
PCT/CN2021/137609
Publication Date:
October 06, 2022
Filing Date:
December 13, 2021
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06T7/50
Foreign References:
| CN113160294A | 2021-07-23 | |||
| CN112819875A | 2021-05-18 | |||
| CN110503680A | 2019-11-26 | |||
| CN110782490A | 2020-02-11 | |||
| US20150178900A1 | 2015-06-25 |
Other References:
ZHOU TINGHUI; BROWN MATTHEW; SNAVELY NOAH; LOWE DAVID G.: "Unsupervised Learning of Depth and Ego-Motion from Video", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE COMPUTER SOCIETY, US, 21 July 2017 (2017-07-21), US , pages 6612 - 6619, XP033250026, ISSN: 1063-6919, DOI: 10.1109/CVPR.2017.700
YIN ZHICHAO; SHI JIANPING: "GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, 18 June 2018 (2018-06-18), pages 1983 - 1992, XP033476163, DOI: 10.1109/CVPR.2018.00212
YIN ZHICHAO; SHI JIANPING: "GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, 18 June 2018 (2018-06-18), pages 1983 - 1992, XP033476163, DOI: 10.1109/CVPR.2018.00212
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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