Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Todd Zickler"'
Publikováno v:
Physical Review Physics Education Research, Vol 12, Iss 2, p 020142 (2016)
Large-scale audiovisual data that measure group learning are time consuming to collect and analyze. As an initial step towards scaling qualitative classroom observation, we qualitatively coded classroom video using an established coding scheme with a
Externí odkaz:
https://doaj.org/article/65d0f66c4c8d480a91f5d1cf0b55fd8b
Publikováno v:
Computers & Graphics. 103:101-108
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:4519-4522
We present a sufficient condition for recovering unique texture and viewpoints from unknown orthographic projections of a flat texture process. We show that four observations are sufficient in general, and we characterize the ambiguous cases. The res
Autor:
Todd Zickler, Jialiang Wang
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Localizing stereo boundaries is difficult because matching cues are absent in the occluded regions that are adjacent to them. We introduce an energy and level-set optimizer that improves boundaries by encoding the essential geometry of occlusions: Th
Autor:
Federico Capasso, Zhujun Shi, Qi Guo, Cheng-Wei Qiu, Emma Alexander, Todd Zickler, Yao-Wei Huang
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Nature provides diverse solutions to passive visual depth sensing. Evolution has produced vision systems that are highly specialized and efficient, delivering depth-perception capabilities that often surpass those of existing artificial
Autor:
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron, Pratul P. Srinivasan
Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a scene as a continuous volumetric function, parameterized by multilayer perceptrons that provide the volume density and view-dependent emitted radiance at each locat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::614b56b1ae0fa0c39e14aa778c04ddbe
Publikováno v:
OSA Optical Design and Fabrication 2021 (Flat Optics, Freeform, IODC, OFT).
A metalens opto-electronic camera for spatial frequency filtering under inco- herent illumination is introduced. By inverse-designing the phase on the metasurface, near arbitrarily structured 2D filters are realized for depth-invariant operation.
Publikováno v:
Conference on Lasers and Electro-Optics.
A single-lens implementation of optoelectronic spatial frequency filtering for incoherent illumination is demonstrated utilizing metasurface engineering. By inverse-designing the phase on the metasurface, arbitrarily structured 2D filters are realize
Publikováno v:
CVPR
Under the conventional diffuse shading model with unknown directional lighting, the set of quadratic surface shapes that are consistent with the spatial derivatives of intensity at a single image point is a two-dimensional algebraic variety embedded
Autor:
Dor Verbin, Todd Zickler
Publikováno v:
CVPR
We consider the shape from texture problem, where the input is a single image of a curved, textured surface, and the texture and shape are both a priori unknown. We formulate this task as a three-player game between a shape process, a texture process