Kieu Pham
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Kieu Pham has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Debra Flanders Cushing
School of Architecture and Built Environment, Queensland University of Technology, George Street, Brisbane, QLD 4000, Australia
3 shared publications - Veronica Garcia-Hansen
Queensland University of Technology
3 shared publications - Francisca Rodriguez
Queensland University of Technology
2 shared publications - Akila Pemasiri
Queensland University of Technology
1 shared publication - Andrea Blake
School of Economics and Finance, Queensland University of Technology, Gardens Point Campus, 2 George St, Brisbane City QLD 4000, Australia
1 shared publication - Ayman Wagdy
The American University in Cairo, AUC Avenue, P.O. Box 74, New Cairo 11835, Egypt
1 shared publication
Latest Publications
- 1 May 2026
- Published by Springer Nature
- p. 229-251
Adjusting the Built Environment for a Shared Sense of Comfort: Towards a Framework for Post-occupancy Adaptation
- 1 May 2026
- Published by Springer Nature
- p. 229-251
Adjusting the Built Environment for a Shared Sense of Comfort: Towards a Framework for Post-occupancy Adaptation
- 8 August 2025
- Published by Taylor & Francis in Contemporary Social Science
- Vol. 20 (4) , 662-679
Grandschools: a new intergenerational third place for community regeneration
- 8 August 2025
- Published by Taylor & Francis in Contemporary Social Science
- Vol. 20 (4) , 662-679
Grandschools: a new intergenerational third place for community regeneration
- Open Access
A Parametric Method for Remapping and Calibrating Fisheye Images for Glare Analysis
High Dynamic Range (HDR) imaging using a fisheye lens has provided new opportunities to evaluate the luminous environment in visual comfort research. For glare analysis, strict calibration is necessary to extract accurate luminous maps to achieve reliable glare results. Most studies have focused on correcting the vignetting effect in HDR imaging during post-calibration. However, the lens projection also contributes to luminous map errors because of its inherent distortion. To date, there is no simple method to correct this distortion phenomenon for glare analysis. This paper presents a parametric-based methodology to correct the projection distortion from fisheye lenses for the specific use in glare analysis. HDR images were captured to examine two devices: a 190° equisolid SIGMA 8 mm F3.5 EX DG fisheye lens mounted on a Canon 5D camera, and a 195° fisheye commercial lens with an unknown projection, mounted on the rear camera of a Samsung Galaxy S7. A mathematical and geometrical model was developed to remap each pixel to correct the projection distortion using Grasshopper and MATLAB. The parametric-based method was validated using Radiance and MATLAB through checking the accuracy of pixel remapping and measuring color distortion with Structural Similarity Index (SSIM). Glare scores were used to compare the results between both devices, which validates the use of mobile phones in photometric research. The results showed that this method can be used to correct HDR images projection distortion for more accurate evaluation of the luminous environment in glare research.
Open AccessA Parametric Method for Remapping and Calibrating Fisheye Images for Glare Analysis
High Dynamic Range (HDR) imaging using a fisheye lens has provided new opportunities to evaluate the luminous environment in visual comfort research. For glare analysis, strict calibration is necessary to extract accurate luminous maps to achieve reliable glare results. Most studies have focused on correcting the vignetting effect in HDR imaging during post-calibration. However, the lens projection also contributes to luminous map errors because of its inherent distortion. To date, there is no simple method to correct this distortion phenomenon for glare analysis. This paper presents a parametric-based methodology to correct the projection distortion from fisheye lenses for the specific use in glare analysis. HDR images were captured to examine two devices: a 190° equisolid SIGMA 8 mm F3.5 EX DG fisheye lens mounted on a Canon 5D camera, and a 195° fisheye commercial lens with an unknown projection, mounted on the rear camera of a Samsung Galaxy S7. A mathematical and geometrical model was developed to remap each pixel to correct the projection distortion using Grasshopper and MATLAB. The parametric-based method was validated using Radiance and MATLAB through checking the accuracy of pixel remapping and measuring color distortion with Structural Similarity Index (SSIM). Glare scores were used to compare the results between both devices, which validates the use of mobile phones in photometric research. The results showed that this method can be used to correct HDR images projection distortion for more accurate evaluation of the luminous environment in glare research.