Author:
Bhavsar Arnav V.,Rajagopalan A. N.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference45 articles.
1. Ahuja, N., & Abbot, A. L. (1993). Active stereo: Integrating disparity, vergence, focus, aperture and calibration for surface estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10), 1007–1029.
2. Bhavsar, A. V., & Rajagopalan, A. N. (2008). Range map with missing data—joint resolution enhancement and inpainting. In Indian conference on computer vision, graphics and image processing (ICVGIP 2008) (pp. 359–365).
3. Bhavsar, A. V., & Rajagopalan, A. N. (2009). Depth estimation with a practical camera. In British machine vision conference (BMVC 2009).
4. Bhavsar, A. V., & Rajagopalan, A. N. (2010). Depth estimation and inpainting with an unconstrained camera. In British machine vision conference (BMVC 2010).
5. Chan, T., & Kang, S. (2006). Error analysis for image inpainting. Journal of Mathematical Imaging and Vision, 26(1), 85–103.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Finite Aperture Stereo;International Journal of Computer Vision;2022-09-13
2. Finite Aperture Stereo: 3D Reconstruction of Macro-Scale Scenes;2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2021-10
3. Uniting Stereo and Depth-from-Defocus: A Thin Lens-based Variational Framework for Multiview Reconstruction;2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2021-06
4. A Novel Depth from Defocus Framework Based on a Thick Lens Camera Model;2020 International Conference on 3D Vision (3DV);2020-11
5. Modeling Defocus-Disparity in Dual-Pixel Sensors;2020 IEEE International Conference on Computational Photography (ICCP);2020-04