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MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA

Abstract: 

In this paper, we estimate depth information using two defocused images from dual aperture camera. Recent advances in deep learning techniques have increased the accuracy of depth estimation. Besides, methods of using a defocused image in which an object is blurred according to a distance from a camera have been widely studied. We further improve the accuracy of the depth estimation by training the network using two images with different degrees of depth-of-field. Using images taken with different apertures for the same scene, we can determine the degree of blur in an image more accurately. In this work, we propose a novel deep convolutional network
that estimates depth map using dual aperture images based on boundary cue. Our proposed method achieves state-of-the-art performance on a synthetically modified NYU-v2 dataset. In addition, we built a new camera using fast variable apertures to build a test environment in the real world. In particular, we collected a new dataset which consists of real world vehicle driving scenes. Our proposed work shows excellent performance in the new dataset.

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Paper Details

Authors:
Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee
Submitted On:
20 May 2020 - 11:55am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Gwangmo Song
Document Year:
2020
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Document Files

ICASSP_MIDFD_PPT.pdf

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[1] Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee, "MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5418. Accessed: Jul. 03, 2020.
@article{5418-20,
url = {http://sigport.org/5418},
author = {Gwangmo Song; Yumee Kim; Kukjin Chun; Kyoung Mu Lee },
publisher = {IEEE SigPort},
title = {MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA},
year = {2020} }
TY - EJOUR
T1 - MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA
AU - Gwangmo Song; Yumee Kim; Kukjin Chun; Kyoung Mu Lee
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5418
ER -
Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee. (2020). MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA. IEEE SigPort. http://sigport.org/5418
Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee, 2020. MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA. Available at: http://sigport.org/5418.
Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee. (2020). "MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA." Web.
1. Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee. MULTI IMAGE DEPTH FROM DEFOCUS NETWORK WITH BOUNDARY CUE FOR DUAL APERTURE CAMERA [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5418