References
- R. Woodham, "Photometric method for determining surface orientation from multiple images," Optical Engineeing, vol. 19, pp. 139-144, 1980.
- H. Tagare and R. deFigueiredo, "A theory of photometric stereo for a class of diffuse non-Lambertian surfaces," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 2 pp. 133-152, 1991. https://doi.org/10.1109/34.67643
- J. Sun, M. Smith, L. Smith, S. Midha, and J. Bamber, "Object surface recovery using a multi-light photometric stereo technique for non-Lambertian surfaces subject to shadows and specularities," Image and Vision Computing, vol. 25, pp. 1050-1057, 2007. https://doi.org/10.1016/j.imavis.2006.04.025
- M. L. Smith and L. N. Smith, "Dynamic photometric stereo-a new technique for moving surface analysis," Image and Vision Computing, vol. 23, pp. 841-852, 2005. https://doi.org/10.1016/j.imavis.2005.01.007
- B. Bringier, D. Helbert, and M. Khoudeir, "Photometric reconstruction of a dynamic textured surface from just one color image acquisition," Journal of the Optical Society of America. A, vol. 25, no. 3. pp. 566-574, 2008. https://doi.org/10.1364/JOSAA.25.000566
- D.-Y. Kang, Y. J. Jang, and S.-C. Won, "Development of an inspection system for planar steel surface using multispectral photometric stereo," Optical Engineering, vol. 52, no. 3, 039701, 2013. https://doi.org/10.1117/1.OE.52.3.039701
- T. Malzbender, B. Wilburn, D. Gelb, and B. Ambrisco, "Surface enhancement using real-time photometric stereo and reflectance transformation," Proc. of the European Symposium on Rendering, 2006.
- A. Varnavas, V. Argyriou, J. Ng, and A. A. Bharath, "Dense photometric stereo reconstruction on many core GPUs," Proc. of IEEE Computer Vision and Pattern Recognition Workshops, pp. 59-65, 2010.
- R. T. Frankot and R. Chellappa, "A method for enforcing integrability in shape from shading algorithms," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 10, no. 4, 1988.
- T. Wei and R. Klette, "Height from gradient with surface curvature and area constraints," Indian Conference on Computer Vision, Graphics & Image Processing, Ahmadabad, India, Dec. 2002.
- B. K. P. Horn and M. J. Brooks, "The variational approach to shape from shading," Computer Vision, Graphics, and Image Processing, vol. 33, no. 2, pp. 174-208, 1986. https://doi.org/10.1016/0734-189X(86)90114-3
- J. M. McDonough, "Lectures on computational numerical analysis of partial differential equations," University of Kentucky, 2008.
- V. Nozick, "Pyramidal normal map integration for real- time photometric stereo," in Proc. Europe-Asia Congress on Mechatronics, pp. 128-132, Yokohama, Japan, 2010.
- R. Laganiere, OpenCV 2 Computer Vision Application Programming Cookbook, Packt Publishing, 2011.
- R. Farber, CUDA Application Design and Development, Elsevier Inc., 2011. 1989.
- J. Sanders and E, Kandrot, CUDA by Example: An Introduction to General-Purpose GPU Programming, Addison-Wesley Professional, 2010.
- D, B. Kirk and W. W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach, Elsivier Inc., 2010.
Cited by
- Analyzing Refractory Bricks of Ladles using Infrared Images vol.21, pp.4, 2015, https://doi.org/10.5302/J.ICROS.2015.14.8036
- Development of a 3D Shape Reconstruction System for Defects on a Hot Steel Surface vol.21, pp.5, 2015, https://doi.org/10.5302/J.ICROS.2015.14.0147
- Surface roughness inspection in milling operations with photometric stereo and PNN vol.81, pp.5-8, 2015, https://doi.org/10.1007/s00170-015-7249-1