Journal of Computer Applications ›› 2023, Vol. 43 ›› Issue (3): 894-902.DOI: 10.11772/j.issn.1001-9081.2022101589
• Multimedia computing and computer simulation • Previous Articles
Jiangfeng ZHANG1,2, Tao YAN1,2,3,4(), Bin CHEN4,5, Yuhua QIAN2,3, Yantao SONG1,2,3
Received:
2022-10-25
Revised:
2023-01-12
Accepted:
2023-01-16
Online:
2023-03-15
Published:
2023-03-10
Contact:
Tao YAN
About author:
ZHANG Jiangfeng, born in 1998, M. S. candidate. His research interests include deep learning, 3D reconstruction.Supported by:
张江峰1,2, 闫涛1,2,3,4(), 陈斌4,5, 钱宇华2,3, 宋艳涛1,2,3
通讯作者:
闫涛
作者简介:
张江峰(1998—),男,山西晋城人,硕士研究生,CCF会员,主要研究方向:深度学习、三维重建基金资助:
CLC Number:
Jiangfeng ZHANG, Tao YAN, Bin CHEN, Yuhua QIAN, Yantao SONG. Multi-depth-of-field 3D shape reconstruction with global spatio-temporal feature coupling[J]. Journal of Computer Applications, 2023, 43(3): 894-902.
张江峰, 闫涛, 陈斌, 钱宇华, 宋艳涛. 全局时空特征耦合的多景深三维形貌重建[J]. 《计算机应用》唯一官方网站, 2023, 43(3): 894-902.
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URL: http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2022101589
模型 | 主干 | 模块 | 特征处理 | MSE | 参数量/106 | 浮点运算量/GFLOPs |
---|---|---|---|---|---|---|
U | 3D-U型主干 | — | 卷积层 | 0.004 23 | 29.160 0 | 534.27 |
U+T | 3D-U型主干 | 3D-SwinTransformer | 卷积层 | 0.003 73 | 35.657 0 | 549.18 |
U+T+DFV | 3D-U型主干 | 3D-SwinTransformer | DFV | 35.660 0 | 549.18 | |
X | 3D-ConvNeXt | — | 卷积层 | 0.005 10 | 9.760 0 | 233.17 |
X+T | 3D-ConvNeXt | 3D-SwinTransformer | 卷积层 | 0.002 21 | 16.251 1 | 248.09 |
X+T+DFV | 3D-ConvNeXt | 3D-SwinTransformer | DFV | 0.000 98 |
Tab. 1 Comparison analysis of ablation experiments
模型 | 主干 | 模块 | 特征处理 | MSE | 参数量/106 | 浮点运算量/GFLOPs |
---|---|---|---|---|---|---|
U | 3D-U型主干 | — | 卷积层 | 0.004 23 | 29.160 0 | 534.27 |
U+T | 3D-U型主干 | 3D-SwinTransformer | 卷积层 | 0.003 73 | 35.657 0 | 549.18 |
U+T+DFV | 3D-U型主干 | 3D-SwinTransformer | DFV | 35.660 0 | 549.18 | |
X | 3D-ConvNeXt | — | 卷积层 | 0.005 10 | 9.760 0 | 233.17 |
X+T | 3D-ConvNeXt | 3D-SwinTransformer | 卷积层 | 0.002 21 | 16.251 1 | 248.09 |
X+T+DFV | 3D-ConvNeXt | 3D-SwinTransformer | DFV | 0.000 98 |
模型 | MSE | RMSE | Sqr.rel | Bumpiness | 参数量/103 |
---|---|---|---|---|---|
RDF | 0.111 5 | 0.322 | 0.239 5 | 1.54 | — |
DDFF | 0.033 4 | 0.167 | 1.74 | 39 806 222 | |
DefocusNet | 0.021 8 | 0.134 | 0.035 9 | 2.52 | 1 508 047 |
AiFDepthNet | — | — | 16 533 873 | ||
FV-Net | 0.018 8 | 0.125 | 0.024 3 | 1.45 | |
DFV-Net | 0.020 5 | 0.129 | 0.023 9 | — | |
GSTFC | 0.009 8 | 0.091 | 0.057 5 | 0.51 | 16 269 231 |
Tab. 2 Comparison results of different models on FoD500 dataset
模型 | MSE | RMSE | Sqr.rel | Bumpiness | 参数量/103 |
---|---|---|---|---|---|
RDF | 0.111 5 | 0.322 | 0.239 5 | 1.54 | — |
DDFF | 0.033 4 | 0.167 | 1.74 | 39 806 222 | |
DefocusNet | 0.021 8 | 0.134 | 0.035 9 | 2.52 | 1 508 047 |
AiFDepthNet | — | — | 16 533 873 | ||
FV-Net | 0.018 8 | 0.125 | 0.024 3 | 1.45 | |
DFV-Net | 0.020 5 | 0.129 | 0.023 9 | — | |
GSTFC | 0.009 8 | 0.091 | 0.057 5 | 0.51 | 16 269 231 |
数据集 | 模型 | RMSE | PSNR/dB | SSIM | Correlation |
---|---|---|---|---|---|
Base-Line | SF | 0.032 6 | 30.100 6 | 0.947 5 | 0.946 5 |
TENV | 0.020 8 | 33.889 6 | 0.935 4 | 0.994 4 | |
DLAP | 0.025 3 | 32.900 6 | 0.910 2 | 0.996 0 | |
FDC | 0.092 4 | 20.875 7 | 0.649 6 | 0.495 4 | |
GC | 0.122 0 | 18.653 7 | 0.676 8 | 0.779 6 | |
RDF | 0.024 7 | 32.847 8 | 0.904 8 | 0.962 4 | |
RFVR-SFF | 0.008 0 | 42.813 1 | 0.952 3 | 0.996 9 | |
GSTFC | 0.005 8 | 45.714 2 | 0.967 6 | 0.998 2 | |
4D Light Field | SF | 0.040 7 | 28.630 6 | 0.899 0 | 0.904 2 |
TENV | 0.042 9 | 28.397 2 | 0.887 5 | 0.882 5 | |
DLAP | 0.030 9 | 31.297 5 | 0.920 8 | 0.945 6 | |
FDC | 0.088 8 | 21.203 1 | 0.563 8 | 0.523 9 | |
GC | 0.112 9 | 19.162 5 | 0.796 0 | 0.697 4 | |
RDF | 0.055 7 | 25.934 5 | 0.871 3 | 0.816 5 | |
RFVR-SFF | 0.029 9 | 32.096 7 | 0.895 0 | 0.934 6 | |
GSTFC | 0.026 2 | 33.686 5 | 0.921 7 | 0.947 6 | |
POV-Ray | SF | 0.099 0 | 20.165 9 | 0.611 7 | 0.731 4 |
TENV | 0.099 8 | 20.249 0 | 0.614 7 | 0.704 3 | |
DLAP | 0.077 1 | 22.361 1 | 0.658 4 | 0.835 9 | |
FDC | 0.123 4 | 18.228 6 | 0.465 4 | 0.508 7 | |
GC | 0.140 3 | 17.086 7 | 0.532 1 | 0.546 2 | |
RDF | 0.112 2 | 19.038 8 | 0.604 4 | 0.666 1 | |
RFVR-SFF | 0.093 6 | 20.802 0 | 0.500 2 | 0.771 8 | |
GSTFC | 0.076 6 | 22.402 4 | 0.655 0 | 0.845 1 | |
SLFD and DLFD | SF | 0.047 8 | 26.754 0 | 0.888 8 | 0.904 5 |
TENV | 0.056 0 | 25.628 3 | 0.857 9 | 0.859 1 | |
DLAP | 0.036 1 | 29.377 6 | 0.919 2 | 0.944 9 | |
FDC | 0.101 4 | 20.026 1 | 0.541 3 | 0.553 6 | |
GC | 0.125 9 | 18.178 3 | 0.776 9 | 0.710 7 | |
RDF | 0.066 1 | 24.223 2 | 0.869 7 | 0.807 4 | |
RFVR-SFF | 0.085 5 | 21.720 0 | 0.388 8 | 0.726 4 | |
GSTFC | 0.038 7 | 28.987 6 | 0.914 5 | 0.927 4 |
Tab. 3 Comparison results of different models on traditional datasets
数据集 | 模型 | RMSE | PSNR/dB | SSIM | Correlation |
---|---|---|---|---|---|
Base-Line | SF | 0.032 6 | 30.100 6 | 0.947 5 | 0.946 5 |
TENV | 0.020 8 | 33.889 6 | 0.935 4 | 0.994 4 | |
DLAP | 0.025 3 | 32.900 6 | 0.910 2 | 0.996 0 | |
FDC | 0.092 4 | 20.875 7 | 0.649 6 | 0.495 4 | |
GC | 0.122 0 | 18.653 7 | 0.676 8 | 0.779 6 | |
RDF | 0.024 7 | 32.847 8 | 0.904 8 | 0.962 4 | |
RFVR-SFF | 0.008 0 | 42.813 1 | 0.952 3 | 0.996 9 | |
GSTFC | 0.005 8 | 45.714 2 | 0.967 6 | 0.998 2 | |
4D Light Field | SF | 0.040 7 | 28.630 6 | 0.899 0 | 0.904 2 |
TENV | 0.042 9 | 28.397 2 | 0.887 5 | 0.882 5 | |
DLAP | 0.030 9 | 31.297 5 | 0.920 8 | 0.945 6 | |
FDC | 0.088 8 | 21.203 1 | 0.563 8 | 0.523 9 | |
GC | 0.112 9 | 19.162 5 | 0.796 0 | 0.697 4 | |
RDF | 0.055 7 | 25.934 5 | 0.871 3 | 0.816 5 | |
RFVR-SFF | 0.029 9 | 32.096 7 | 0.895 0 | 0.934 6 | |
GSTFC | 0.026 2 | 33.686 5 | 0.921 7 | 0.947 6 | |
POV-Ray | SF | 0.099 0 | 20.165 9 | 0.611 7 | 0.731 4 |
TENV | 0.099 8 | 20.249 0 | 0.614 7 | 0.704 3 | |
DLAP | 0.077 1 | 22.361 1 | 0.658 4 | 0.835 9 | |
FDC | 0.123 4 | 18.228 6 | 0.465 4 | 0.508 7 | |
GC | 0.140 3 | 17.086 7 | 0.532 1 | 0.546 2 | |
RDF | 0.112 2 | 19.038 8 | 0.604 4 | 0.666 1 | |
RFVR-SFF | 0.093 6 | 20.802 0 | 0.500 2 | 0.771 8 | |
GSTFC | 0.076 6 | 22.402 4 | 0.655 0 | 0.845 1 | |
SLFD and DLFD | SF | 0.047 8 | 26.754 0 | 0.888 8 | 0.904 5 |
TENV | 0.056 0 | 25.628 3 | 0.857 9 | 0.859 1 | |
DLAP | 0.036 1 | 29.377 6 | 0.919 2 | 0.944 9 | |
FDC | 0.101 4 | 20.026 1 | 0.541 3 | 0.553 6 | |
GC | 0.125 9 | 18.178 3 | 0.776 9 | 0.710 7 | |
RDF | 0.066 1 | 24.223 2 | 0.869 7 | 0.807 4 | |
RFVR-SFF | 0.085 5 | 21.720 0 | 0.388 8 | 0.726 4 | |
GSTFC | 0.038 7 | 28.987 6 | 0.914 5 | 0.927 4 |
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