The Experts below are selected from a list of 248700 Experts worldwide ranked by ideXlab platform
Jing Zhang - One of the best experts on this subject based on the ideXlab platform.
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a new Calibration Model of camera lens distortion
Pattern Recognition, 2008Co-Authors: Jianhua Wang, Jing ZhangAbstract:Lens distortion is one of the main factors affecting camera Calibration. In this paper, a new Model of camera lens distortion is presented, according to which lens distortion is governed by the coefficients of radial distortion and a transform from ideal image plane to real sensor array plane. The transform is determined by two angular parameters describing the pose of the real sensor array plane with respect to the ideal image plane and two linear parameters locating the real sensor array with respect to the optical axis. Experiments show that the new Model has about the same correcting effect upon lens distortion as the conventional Model including all the radial distortion, decentering distortion and prism distortion. Compared with the conventional Model, the new Model has fewer parameters to be calibrated and more explicit physical meaning.
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a new Calibration Model of camera lens distortion
Pattern Recognition, 2008Co-Authors: Jianhua Wang, Jing ZhangAbstract:Lens distortion is one of the main factors affecting camera Calibration. In this paper, a new Model of camera lens distortion is presented, according to which lens distortion is governed by the coefficients of radial distortion and a transform from ideal image plane to real sensor array plane. The transform is determined by two angular parameters describing the pose of the real sensor array plane with respect to the ideal image plane and two linear parameters locating the real sensor array with respect to the optical axis. Experiments show that the new Model has about the same correcting effect upon lens distortion as the conventional Model including all the radial distortion, decentering distortion and prism distortion. Compared with the conventional Model, the new Model has fewer parameters to be calibrated and more explicit physical meaning.
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A New Calibration Model and Method of Camera Lens Distortion
2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006Co-Authors: Jianhua Wang, Jing ZhangAbstract:Lens distortion is one of the main factors affecting camera Calibration. In this paper, a new Model of camera lens distortion is presented, according to which lens distortion is governed by the coefficients of radial distortion and a transform from ideal image plane to real sensing array plane. The transform is determined by two angular parameters describing the pose and two linear parameters locating the position of the sensing array plane. Compared with the conventional ones, the new Model has fewer parameters to be calibrated and more explicit physical meaning. Calibration method of the new Model is also proposed. Experiments show that Calibration results from the new Model and method can correct lens distortion better than conventional ones
Jianhua Wang - One of the best experts on this subject based on the ideXlab platform.
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a new Calibration Model of camera lens distortion
Pattern Recognition, 2008Co-Authors: Jianhua Wang, Jing ZhangAbstract:Lens distortion is one of the main factors affecting camera Calibration. In this paper, a new Model of camera lens distortion is presented, according to which lens distortion is governed by the coefficients of radial distortion and a transform from ideal image plane to real sensor array plane. The transform is determined by two angular parameters describing the pose of the real sensor array plane with respect to the ideal image plane and two linear parameters locating the real sensor array with respect to the optical axis. Experiments show that the new Model has about the same correcting effect upon lens distortion as the conventional Model including all the radial distortion, decentering distortion and prism distortion. Compared with the conventional Model, the new Model has fewer parameters to be calibrated and more explicit physical meaning.
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a new Calibration Model of camera lens distortion
Pattern Recognition, 2008Co-Authors: Jianhua Wang, Jing ZhangAbstract:Lens distortion is one of the main factors affecting camera Calibration. In this paper, a new Model of camera lens distortion is presented, according to which lens distortion is governed by the coefficients of radial distortion and a transform from ideal image plane to real sensor array plane. The transform is determined by two angular parameters describing the pose of the real sensor array plane with respect to the ideal image plane and two linear parameters locating the real sensor array with respect to the optical axis. Experiments show that the new Model has about the same correcting effect upon lens distortion as the conventional Model including all the radial distortion, decentering distortion and prism distortion. Compared with the conventional Model, the new Model has fewer parameters to be calibrated and more explicit physical meaning.
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A New Calibration Model and Method of Camera Lens Distortion
2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006Co-Authors: Jianhua Wang, Jing ZhangAbstract:Lens distortion is one of the main factors affecting camera Calibration. In this paper, a new Model of camera lens distortion is presented, according to which lens distortion is governed by the coefficients of radial distortion and a transform from ideal image plane to real sensing array plane. The transform is determined by two angular parameters describing the pose and two linear parameters locating the position of the sensing array plane. Compared with the conventional ones, the new Model has fewer parameters to be calibrated and more explicit physical meaning. Calibration method of the new Model is also proposed. Experiments show that Calibration results from the new Model and method can correct lens distortion better than conventional ones
Zeng-ping Chen - One of the best experts on this subject based on the ideXlab platform.
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Quantitative Analysis of Powder Mixtures by Raman Spectrometry: the influence of particle size and its correction
2016Co-Authors: Zeng-ping Chen, David Littlejohn, Alison Nordon, Jing Yang, Jingwen Jin, Juan ZhangAbstract:Particle size distribution and compactness have significant confounding effects on Raman signals of powder mixtures, which cannot be effectively Modeled or corrected by traditional multivariate linear Calibration methods such as partial least-squares (PLS), and therefore greatly deteriorate the predictive abilities of Raman Calibration Models for powder mixtures. The ability to obtain directly quantitative information from Raman signals of powder mixtures with varying particle size distribution and compactness is, therefore, of considerable interest. In this study, an advanced quantitative Raman Calibration Model was developed to explicitly account for the confounding effects of particle size distribution and compactness on Raman signals of powder mixtures. Under the theoretical guidance of the proposed Raman Calibration Model, an advanced dual Calibration strategy was adopted to separate the Raman contributions caused by the changes in mass fractions of the constituents in powder mixtures from those induced by the variations in the physical properties of samples, and hence achieve accurate quantitative determination for powder mixture samples. The proposed Raman Calibration Model was applied to the quantitative analysis of backscatter Raman measurements of a proof-of-concept Model system of powder mixtures consisting of barium nitrate and potassium chromate. The average relative prediction error of prediction obtained by the proposed Raman Calibration Model was less than one-third of the corresponding value of the best performing PLS Model for mass fractions of barium nitrate in powder mixtures with variations in particle size distribution, as well as compactness
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quantitative determination of ametryn in river water using surface enhanced raman spectroscopy coupled with an advanced chemometric Model
Chemometrics and Intelligent Laboratory Systems, 2015Co-Authors: Yao Chen, Zeng-ping Chen, Jingwen JinAbstract:Abstract In this contribution, surface-enhanced Raman spectroscopy (SERS) coupled with an advanced chemometric method-multiplicative effects Model (MEM SERS ) has been applied to quantitative analysis of ametryn in water samples of the Xiangjiang River (Changsha, China). The adoption of MEM SERS Calibration Model was to eliminate the detrimental effects caused by variations in the physical properties of enhancing substrates, the intensity and alignment/focusing of laser excitation source. Experimental results showed that the combination of SERS with MEM SERS can provide quite precise concentration predictions for ametryn in water samples of the Xiangjiang River with an average relative prediction error of about 4.8%. The combination of SERS with MEM SERS can compete with LC-MS/MS in terms of precision and accuracy of quantitative results. The limit of quantification was about 0.09 μM. More importantly, no laborious reference methods (e.g., HPLC) were needed to build the MEM SERS Calibration Model, since the MEM SERS Calibration Model built on the Calibration samples prepared with ultrapure water could provide satisfactory quantification results for the test samples prepared with water collected from the Xiangjiang River. Therefore, it is reasonable to expect that SERS in combination with MEM SERS Model would become a competitive alternative in routine quantitative analysis of ametryn in environmental water samples.
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quantitative analysis of powder mixtures by raman spectrometry the influence of particle size and its correction
Analytical Chemistry, 2012Co-Authors: Zeng-ping Chen, David Littlejohn, Alison Nordon, Jing Yang, Juan Zhang, Limei Li, Ruqin YuAbstract:Particle size distribution and compactness have significant confounding effects on Raman signals of powder mixtures, which cannot be effectively Modeled or corrected by traditional multivariate linear Calibration methods such as partial least-squares (PLS), and therefore greatly deteriorate the predictive abilities of Raman Calibration Models for powder mixtures. The ability to obtain directly quantitative information from Raman signals of powder mixtures with varying particle size distribution and compactness is, therefore, of considerable interest. In this study, an advanced quantitative Raman Calibration Model was developed to explicitly account for the confounding effects of particle size distribution and compactness on Raman signals of powder mixtures. Under the theoretical guidance of the proposed Raman Calibration Model, an advanced dual Calibration strategy was adopted to separate the Raman contributions caused by the changes in mass fractions of the constituents in powder mixtures from those indu...
John E Koundourellis - One of the best experts on this subject based on the ideXlab platform.
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short communicationquantitative analysis of liquid formulations using ft raman spectroscopy and hplc the case of diphenhydramine hydrochloride in benadryl
Journal of Pharmaceutical and Biomedical Analysis, 2006Co-Authors: Malvina G Orkoula, Christos G Kontoyannis, Catherine K Markopoulou, John E KoundourellisAbstract:The capability of FT-Raman spectroscopy for the fast and non-destructive quantitative analysis of liquid formulations was tested and the results were compared to those obtained by HPLC. Diphenhydramine hydrochloride (DPH), the active ingredient of Benadryl®, was determined in the presence of the numerous excipients of the elixir. A Raman Calibration Model was developed by measuring the peak intensities of different standard solutions of DPH vibration at 1003 cm−1. Application of the Calibration Model on the peak intensity recorded from the as-received commercially available sample with 2.5 mg ml−1 DPH nominal value yielded a value of 2.49 ± 0.05 mg ml−1 DPH. The reliability of this method was verified by testing it against the conventionally used HPLC. The results from both methods were in excellent agreement. The main advantage of Raman over HPLC method during routine analysis is that is considerably faster and less solvent consuming. Furthermore, Raman spectroscopy is non-destructive for the sample. On the other hand, the detection limit for Raman spectroscopy is much higher than the corresponding for the HPLC methodology.
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quantitative analysis of liquid formulations using ft raman spectroscopy and hplc the case of diphenhydramine hydrochloride in benadryl
Journal of Pharmaceutical and Biomedical Analysis, 2006Co-Authors: Malvina G Orkoula, Christos G Kontoyannis, Catherine K Markopoulou, John E KoundourellisAbstract:Abstract The capability of FT-Raman spectroscopy for the fast and non-destructive quantitative analysis of liquid formulations was tested and the results were compared to those obtained by HPLC. Diphenhydramine hydrochloride (DPH), the active ingredient of Benadryl ® , was determined in the presence of the numerous excipients of the elixir. A Raman Calibration Model was developed by measuring the peak intensities of different standard solutions of DPH vibration at 1003 cm −1 . Application of the Calibration Model on the peak intensity recorded from the as-received commercially available sample with 2.5 mg ml −1 DPH nominal value yielded a value of 2.49 ± 0.05 mg ml −1 DPH. The reliability of this method was verified by testing it against the conventionally used HPLC. The results from both methods were in excellent agreement. The main advantage of Raman over HPLC method during routine analysis is that is considerably faster and less solvent consuming. Furthermore, Raman spectroscopy is non-destructive for the sample. On the other hand, the detection limit for Raman spectroscopy is much higher than the corresponding for the HPLC methodology.
Ruqin Yu - One of the best experts on this subject based on the ideXlab platform.
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quantitative analysis of powder mixtures by raman spectrometry the influence of particle size and its correction
Analytical Chemistry, 2012Co-Authors: Zeng-ping Chen, David Littlejohn, Alison Nordon, Jing Yang, Juan Zhang, Limei Li, Ruqin YuAbstract:Particle size distribution and compactness have significant confounding effects on Raman signals of powder mixtures, which cannot be effectively Modeled or corrected by traditional multivariate linear Calibration methods such as partial least-squares (PLS), and therefore greatly deteriorate the predictive abilities of Raman Calibration Models for powder mixtures. The ability to obtain directly quantitative information from Raman signals of powder mixtures with varying particle size distribution and compactness is, therefore, of considerable interest. In this study, an advanced quantitative Raman Calibration Model was developed to explicitly account for the confounding effects of particle size distribution and compactness on Raman signals of powder mixtures. Under the theoretical guidance of the proposed Raman Calibration Model, an advanced dual Calibration strategy was adopted to separate the Raman contributions caused by the changes in mass fractions of the constituents in powder mixtures from those indu...
