TY - GEN
T1 - Accuracy Improvement of Depth Map Estimation from Multi-View Images Using NeRF
AU - Ito, Shintaro
AU - Miura, Kanta
AU - Ito, Koichi
AU - Aoki, Takafumi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we propose a method to improve the accuracy of depth map estimation from multi-view images using Neural Radiance Fields (NeRF). A depth map can be estimated from multi-view images using Multi-View Stereo (MVS), which can estimates the depths inside objects with high accuracy, while NeRF can estimate the depths at object boundaries with high accuracy. We consider using both advantages to improve the accuracy of depth map estimation from multi-view images and making NeRF as a refinement module. Through a set of experiments using a public MVS dataset, we demonstrate the effectiveness of the proposed method compared to conventional depth map estimation methods.
AB - In this paper, we propose a method to improve the accuracy of depth map estimation from multi-view images using Neural Radiance Fields (NeRF). A depth map can be estimated from multi-view images using Multi-View Stereo (MVS), which can estimates the depths inside objects with high accuracy, while NeRF can estimate the depths at object boundaries with high accuracy. We consider using both advantages to improve the accuracy of depth map estimation from multi-view images and making NeRF as a refinement module. Through a set of experiments using a public MVS dataset, we demonstrate the effectiveness of the proposed method compared to conventional depth map estimation methods.
KW - depth map estimation
KW - multi-view stereo
KW - neural radiance fields
UR - http://www.scopus.com/inward/record.url?scp=85184848489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184848489&partnerID=8YFLogxK
U2 - 10.1109/VCIP59821.2023.10402609
DO - 10.1109/VCIP59821.2023.10402609
M3 - Conference contribution
AN - SCOPUS:85184848489
T3 - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
BT - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
Y2 - 4 December 2023 through 7 December 2023
ER -