Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Balasubramanian, Madhusudhanan"'
Inaccurate optical flow estimates in and near occluded regions, and out-of-boundary regions are two of the current significant limitations of optical flow estimation algorithms. Recent state-of-the-art optical flow estimation algorithms are two-frame
Externí odkaz:
http://arxiv.org/abs/2304.14418
A dense depth-map of a scene at an arbitrary view orientation can be estimated from dense view correspondences among multiple lower-dimensional views of the scene. These low-dimensional view correspondences are dependent on the geometrical relationsh
Externí odkaz:
http://arxiv.org/abs/2202.01309
Dense disparities among multiple views is essential for estimating the 3D architecture of a scene based on the geometrical relationship among the scene and the views or cameras. Scenes with larger extents of heterogeneous textures, differing scene il
Externí odkaz:
http://arxiv.org/abs/2109.11077
Dense optical flow estimation is challenging when there are large displacements in a scene with heterogeneous motion dynamics, occlusion, and scene homogeneity. Traditional approaches to handle these challenges include hierarchical and multiresolutio
Externí odkaz:
http://arxiv.org/abs/2107.05634
Dense pixel matching problems such as optical flow and disparity estimation are among the most challenging tasks in computer vision. Recently, several deep learning methods designed for these problems have been successful. A sufficiently larger effec
Externí odkaz:
http://arxiv.org/abs/2107.04715
Publikováno v:
In Neurocomputing 28 February 2023 523:116-129
In this thesis, an attempt has been made to assist the diagnosis of Fungal Keratitis, a fungal infection that occurs in the corneal layers of the eye, by identifying the region of infection in the corneal images using fractal-based features. Three fe
Externí odkaz:
http://etd.lsu.edu/docs/available/etd-1106103-120852/
Autor:
Shabanian, Hanieh1 (AUTHOR), Balasubramanian, Madhusudhanan1 (AUTHOR) mblsbrmn@memphis.edu
Publikováno v:
Scientific Reports. 9/16/2022, Vol. 12 Issue 1, p1-17. 17p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Belghith, Akram, Bowd, Christopher, Medeiros, Felipe A., Balasubramanian, Madhusudhanan, Weinreb, Robert N., Zangwill, Linda M.
Publikováno v:
In Artificial Intelligence In Medicine June 2015 64(2):105-115