Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Samuel W. Hasinoff"'
Autor:
Yun-Ta Tsai, Tim Brooks, Yael Pritch, Nikhil Karnad, Dillon Sharlet, Orly Liba, Kiran Murthy, Marc Levoy, Ryan Geiss, Qiurui He, Tianfan Xue, Samuel W. Hasinoff, Jonathan T. Barron
Publikováno v:
ACM Transactions on Graphics. 38:1-16
Taking photographs in low light using a mobile phone is challenging and rarely produces pleasing results. Aside from the physical limits imposed by read noise and photon shot noise, these cameras are typically handheld, have small apertures and senso
Publikováno v:
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2017, 36 (4), pp.1-12. ⟨10.1145/3072959.3073592⟩
ACM Transactions on Graphics, 2017, 36 (4), pp.1-12. ⟨10.1145/3072959.3073592⟩
ACM Transactions on Graphics, Association for Computing Machinery, 2017, 36 (4), pp.1-12. ⟨10.1145/3072959.3073592⟩
ACM Transactions on Graphics, 2017, 36 (4), pp.1-12. ⟨10.1145/3072959.3073592⟩
Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new neural net
Autor:
Jonathan T. Barron, Dillon Sharlet, Florian Kainz, Samuel W. Hasinoff, Andrew Adams, Ryan Geiss, Jiawen Chen, Marc Levoy
Publikováno v:
ACM Transactions on Graphics. 35:1-12
Cell phone cameras have small apertures, which limits the number of photons they can gather, leading to noisy images in low light. They also have small sensor pixels, which limits the number of electrons each pixel can store, leading to limited dynam
Publikováno v:
ACM Transactions on Graphics. 35:1-8
We present an algorithm to accelerate a large class of image processing operators. Given a low-resolution reference input and output pair, we model the operator by fitting local curves that map the input to the output. We can then produce a full-reso
Publikováno v:
International Journal of Computer Vision. 81:82-104
We present confocal stereo, a new method for computing 3D shape by controlling the focus and aperture of a lens. The method is specifically designed for reconstructing scenes with high geometric complexity or fine-scale texture. To achieve this, we i
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 29:870-885
This paper considers the problem of reconstructing visually realistic 3D models of dynamic semitransparent scenes, such as fire, from a very small set of simultaneous views (even two). We show that this problem is equivalent to a severely underconstr
Publikováno v:
CVPR Workshops
In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and a unique depth is typically assigned to every pixel. This is problemat
Publikováno v:
Other repository
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2014, 33 (5), pp.167.1-167.14. ⟨10.1145/2629645⟩
ACM Transactions on Graphics, 2014, 33 (5), pp.167.1-167.14. ⟨10.1145/2629645⟩
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2014, 33 (5), pp.167.1-167.14. ⟨10.1145/2629645⟩
ACM Transactions on Graphics, 2014, 33 (5), pp.167.1-167.14. ⟨10.1145/2629645⟩
International audience; Multi-scale manipulations are central to image editing but they are also prone to halos. Achieving artifact-free results requires sophisticated edge- aware techniques and careful parameter tuning. These shortcomings were recen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c316f2ef8a69270e3851ac53b0cfa622
https://hdl.handle.net/1721.1/134273
https://hdl.handle.net/1721.1/134273