Zobrazeno 1 - 10
of 65
pro vyhledávání: '"John S. Loomis"'
Publikováno v:
2019 IEEE National Aerospace and Electronics Conference (NAECON).
SLAM (Simultaneous Localization and Mapping) on mobile robot requires high performance but low power consumption because it is constrained to the battery. This paper testes the performance and evaluates the power efficiency of enabling GPU accelerati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18e0ce30b9c2a8bceb0d4b693d29c331
https://doi.org/10.1109/naecon46414.2019.9058059
https://doi.org/10.1109/naecon46414.2019.9058059
Autor:
John S. Loomis, Abdulrahman S. Alturki
Publikováno v:
Applications of Digital Image Processing XXXIX.
Accurate estimation of the principal point (PP) is critical for many camera calibration applications. Taking the PP as the intersection of the optical axis with the image plane, it is possible to identify this location as the orthocenter of three ort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a47621d5275e2a80dbf6b208b12b73
https://doi.org/10.1117/12.2234209
https://doi.org/10.1117/12.2234209
Autor:
John S. Loomis, Abdulrahman S. Alturki
Publikováno v:
2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS).
Calibration is a fundamental task in computer vision and photogrammetry. One of the most important intrinsic camera parameters is the principal point, which is the intersection between the optical axis and the image plane. The proposed method, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9c052d18ef7cd95405a564011d3a899
https://doi.org/10.1109/naecon.2016.7856820
https://doi.org/10.1109/naecon.2016.7856820
Autor:
John S. Loomis
Publikováno v:
Applied optics. 31(13)
Merit figures that are based on ray aberrations give different results from those based on wave-front aberrations. Here Zernike polynomials and a set of orthogonal polynomials that are based on the wave-front slope are used to study the transition fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcd0c6c5436806e13e503f4b989d48ec
https://pubmed.ncbi.nlm.nih.gov/20720880
https://pubmed.ncbi.nlm.nih.gov/20720880
Publikováno v:
Applied optics. 25(4)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15b5448e55810970a59cd839eeefa1a6
https://pubmed.ncbi.nlm.nih.gov/20445696
https://pubmed.ncbi.nlm.nih.gov/20445696
Autor:
John S. Loomis
Publikováno v:
Applied optics. 12(4)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c9244bde96a94ebe95d5b3a6127c27
https://pubmed.ncbi.nlm.nih.gov/20125408
https://pubmed.ncbi.nlm.nih.gov/20125408
Autor:
John S. Loomis
The computer program FRINGE was developed at the Optical Sciences Center of the University of Arizona for the purpose of aiding in the interpretation of interferometric data. The program fits a set of Zernike polynomials to the data. The polynomial e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95261c4eb2864b51d41286c3d942436b
https://doi.org/10.1520/stp33971s
https://doi.org/10.1520/stp33971s
Publikováno v:
Proceedings of the IEEE 1998 National Aerospace and Electronics Conference. NAECON 1998. Celebrating 50 Years (Cat. No.98CH36185).
Phase stepped interferometry (PSI) technique uses a charge coupled device (CCD) camera for intensity image acquisition and allow for near real-time full field object displacement measurements. Since this technique deals with nanometer level displacem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::583e86ee5d5bc71e9d7004b2d8b99772
https://doi.org/10.1109/naecon.1998.710211
https://doi.org/10.1109/naecon.1998.710211
Publikováno v:
Proceedings of the IEEE 1998 National Aerospace and Electronics Conference. NAECON 1998. Celebrating 50 Years (Cat. No.98CH36185).
A new clustering algorithm that uses a weighted Mahdlanobis distance as a distance metric to perform partitional clustering is proposed. The covariance matrices of the generated clusters are used to determine cluster similarity and closeness so that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25af487703931990e04e3510112d3157
https://doi.org/10.1109/naecon.1998.710194
https://doi.org/10.1109/naecon.1998.710194