과제정보
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2021R1F1A104540111).
참고문헌
- Jahanzeb Hafeez, Seunghyun Lee, Soonchul Kwon, and Alaric Hamacher, "Image Based 3D Reconstruction of Texture-less Objects for VR Contents," The International Journal of Advanced Smart Convergence, 6(1), 9-17, 2017. DOI: 10.7236/IJASC.2017.6.1.9
- Y. S. Kang, J. Y. Kang, H. Y. Yoon, J. J. Hwang, Y. H. Chang, and C. B. Ko, "A Study on the AR Game Analysis and Business Model," The Journal of the Convergence on Culture Technology, 2(4), 49-54, 2016. DOI: 10.17703/JCCT.2016.2.4.49
- M. Chai, T. Shao, H. Wu, Y. Weng, and K. Zhou, "Autohair: Fully automatic hair modeling from a single image," ACM Transactions on Graphics, 35(4), 1-12, 2016. DOI: 10.1145/2897824.2925961
- S. Lee, "Deep structured learning: architectures and applications," International Journal of Advanced Culture Technology, 6(4), 262-265, 2018. DOI: 10.17703//IJACT2018.6.4.262
- Sung-Ho Kim, "Development of the 3D Hair Style Simulator using Augmented Reality," Journal of Digital Convergence, 13(1), 249-255, 2015. DOI: 10.14400/JDC.2015.13.1.249
- Y. Huang and J. Y. Song, "Recognition model of road signs using image segmentation algorithm," The Journal of The Institute of Internet, Broadcasting and Communication, 13(2), 233-237, 2013. DOI: 10.7236/JIIBC.2013.13.2.233
- J. W. Lee and I. K. Park, "Retrieval-Based Hair Model Augmentation for 3D Face Modeling," Journal of KIISE, 46(5), 405-412, 2019. DOI: 10.5626/JOK.2019.46.5.405
- Unity Asset Store. https://assetstore.unity.com/packages/tools/modeling/avatar-maker-pro-3d-avatar-from-a-single-selfie-134800
- H. Kim, and Y. Chung, "Effect of Input Data Video Interval and Input Data Image Similarity on Learning Accuracy in 3D-CNN," International Journal of Internet, Broadcasting and Communication, 13(2), 208-217, 2021. DOI: 10.7236/IJIBC.2021.13.2.208
- J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation," Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 3431-3440, 2015. DOI: 10.1109/tpami.2016.2572683
- Share Your Project. http://projects.i-ctm.eu/it/progetto/figaro-1k
- H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia, "Pyramid Scene Parsing Network," Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2881-2890, 2017. DOI: 10.1109/CVPR.2017.660
- B. Yu, L. Yang and F. Chen, "Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(9), 3252-3261, 2018. DOI: 10.1109/JSTARS.2018.2860989
- L. C. Chen, Y. Zhu, G. Papandreou, F. Schroff and H. Adam, "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation," Proceedings of the European Conference on Computer Vision (ECCV), 801-818, 2018. DOI: 10.1007/978-3-030-01234-2_49
- M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. C. Chen, "MobileNetV2: Inverted Residuals and Linear Bottlenecks," The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4510-4520, 2018. DOI: 10.1109/CVPR.2018.00474
- H. S. Hwang, J. W. Jung, Y. H. Kim and Y. S. Choe, "A Study on Improving Speed of Interesting Region Detection Based on Fully Convolutional Network," Proc. of the Conference of The Korea Society of Broad Engineers, 322-325, 2018.