Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Gehua Yang"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 29:1973-1989
Our goal is an automated 2D-image-pair registration algorithm capable of aligning images taken of a wide variety of natural and man-made scenes as well as many medical images. The algorithm should handle low overlap, substantial orientation and scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d528ae5a27b84f8bcc500e3d72da44d
https://doi.org/10.1109/tpami.2007.1116
https://doi.org/10.1109/tpami.2007.1116
Autor:
Badrinath Roysam, Matthew J. Leotta, A. Majerovics, Gehua Yang, Charles V. Stewart, Chia-Ling Tsai, B. Madore, Michal Sofka, H.L. Tanenbaum
Publikováno v:
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society. 12(4)
Retinal clinicians and researchers make extensive use of images, and the current emphasis is on digital imaging of the retinal fundus. The goal of this paper is to introduce a system, known as retinal image vessel extraction and registration system,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcf6bb61d35f4a996b6dc8957ed893fc
https://pubmed.ncbi.nlm.nih.gov/18632328
https://pubmed.ncbi.nlm.nih.gov/18632328
Publikováno v:
3DIM
An algorithm is presented to estimate the position of a hand-held camera with respect to a 3d world model constructed from range data and color imagery. Little prior knowledge is assumed about the camera position. The algorithm includes stages that (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35947485b1f5411d1f84059856589cee
https://doi.org/10.1109/3dim.2007.23
https://doi.org/10.1109/3dim.2007.23
Publikováno v:
CVPR
This paper proposes a new registration algorithm, Co-variance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. This uncertainty is derived from the covariance matrices of the individu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96cf62be35c707b61263c0ef095b1b09
https://doi.org/10.1109/cvpr.2007.383166
https://doi.org/10.1109/cvpr.2007.383166
Autor:
Chia-Ling Tsai, A. G. Amitha Perera, Charles V. Stewart, Ying-Lin Lee, Michal Sofka, Gehua Yang
Publikováno v:
SMC
This paper presents a correspondence-based toolkit for image registration. Written in C++, the toolkit complements the capabilities of the insight toolkit (ITK). Major components include features, feature sets, match generators, error scale estimator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489a1764eaf46f0abc5c1b1593e69a3d
https://doi.org/10.1109/icsmc.2006.384753
https://doi.org/10.1109/icsmc.2006.384753
Publikováno v:
ICVS
Our goal is a highly-reliable, fully-automated image registration technique that takes two images and correctly aligns them or decides that they can not be aligned. The technique should handle image pairs having low overlap, variations in scale, larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a88a8b1d7144f9fe912e42a77cb74cf
https://doi.org/10.1109/icvs.2006.17
https://doi.org/10.1109/icvs.2006.17
Autor:
Gehua Yang, Charles V. Stewart
Publikováno v:
CVPR (1)
A new technique is presented for mosaicing sparsely-overlapping image sets, with a target application of assisting the diagnosis and treatment of retinal diseases. The geometric image transformations required to construct the mosaics are estimated by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd3b74813c17bcebce55d13376964b27
https://doi.org/10.1109/cvpr.2004.1315114
https://doi.org/10.1109/cvpr.2004.1315114
Autor:
Kenneth Fritzsche, Charles V. Stewart, Gehua Yang, Badrinath Roysam, H.L. Tanenbaum, Gang Lin
Publikováno v:
IEEE transactions on bio-medical engineering. 51(1)
Real-time spatial referencing is an important alternative to tracking for designing spatially aware ophthalmic instrumentation for procedures such as laser photocoagulation and perimetry. It requires independent, fast registration of each image frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::251d748718752299896bed1822c4b855
https://pubmed.ncbi.nlm.nih.gov/14723500
https://pubmed.ncbi.nlm.nih.gov/14723500
Autor:
Gehua Yang1 yangg2@cs.rpi.edu, Stewart, Charles V.1 stewart@cs.rpi.edu, Sofka, Michal1 sofka@cs.rpi.edu, Chia-Ling Tsai2 tsaic@cs.ccu.edu.tw
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence. Nov2007, Vol. 29 Issue 11, p1973-1989. 17p. 4 Black and White Photographs, 9 Diagrams, 4 Charts, 1 Graph.
Publikováno v:
2007 IEEE Conference on Computer Vision & Pattern Recognition; 2007, p1-8, 8p