Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bapat, Akash"'
Autor:
Bapat, Akash
This dissertation advances the state of the art for AR/VR tracking systems by increasing the tracking frequency by orders of magnitude and proposes an efficient algorithm for the problem of edge-aware optimization. AR/VR is a natural way of interacti
Externí odkaz:
http://arxiv.org/abs/2309.00777
Autor:
Wang, Jialiang, Scharstein, Daniel, Bapat, Akash, Blackburn-Matzen, Kevin, Yu, Matthew, Lehman, Jonathan, Alsisan, Suhib, Wang, Yanghan, Tsai, Sam, Frahm, Jan-Michael, He, Zijian, Vajda, Peter, Cohen, Michael F., Uyttendaele, Matt
We present the design of a productionized end-to-end stereo depth sensing system that does pre-processing, online stereo rectification, and stereo depth estimation with a fallback to monocular depth estimation when rectification is unreliable. The ou
Externí odkaz:
http://arxiv.org/abs/2211.10551
We present a versatile formulation of the convolution operation that we term a "mapped convolution." The standard convolution operation implicitly samples the pixel grid and computes a weighted sum. Our mapped convolution decouples these two componen
Externí odkaz:
http://arxiv.org/abs/1906.11096
Autor:
Bapat, Akash, Frahm, Jan-Michael
We present a framework for edge-aware optimization that is an order of magnitude faster than the state of the art while having comparable performance. Our key insight is that the optimization can be formulated by leveraging properties of the domain t
Externí odkaz:
http://arxiv.org/abs/1805.04590
Publikováno v:
NCC
In this paper, we present a novel iterative median filter based strategy to improve the quality of the depth maps provided by sensors like Microsoft Kinect. The quality of the depth map is improved in two aspects, by filling holes present in the maps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afae860378fe56b1f30584b6480654b3
https://repository.iitgn.ac.in/handle/123456789/1555
https://repository.iitgn.ac.in/handle/123456789/1555
Autor:
Bapat, Akash Abhijit
Computer vision has seen tremendous success in refashioning cameras from mere recording equipment to devices which can measure, understand, and sense the surroundings. Efficient algorithms in computer vision have now become essential for processing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23bac3135d8d45886a681976bf313c51
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
2015 Twenty First National Conference on Communications (NCC); 2015, p1-6, 6p
Autor:
Zhang, Xiaowei1 (AUTHOR), Aliaga, Daniel1 (AUTHOR)
Publikováno v:
Computer Graphics Forum. May2022, Vol. 41 Issue 2, p249-260. 12p. 3 Color Photographs, 1 Black and White Photograph, 9 Diagrams, 2 Charts.