|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
| ASCII Text | x | ||
| Fredric Solomon, Katsushi Ikeuchi, "Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 4, pp. 449-454, April, 1996. | |||
| BibTex | x | ||
| @article{ 10.1109/34.491627, author = {Fredric Solomon and Katsushi Ikeuchi}, title = {Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {18}, number = {4}, issn = {0162-8828}, year = {1996}, pages = {449-454}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.491627}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo IS - 4 SN - 0162-8828 SP449 EP454 EPD - 449-454 A1 - Fredric Solomon, A1 - Katsushi Ikeuchi, PY - 1996 KW - Photometric stereo KW - Torrance-Sparrow model KW - specular lobe KW - roughness KW - segmentation KW - shape KW - inspection. VL - 18 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—We propose a noncontact method for the measurement of surface shape and surface roughness. The method, which we call "four light photometric stereo," uses four lights, which sequentially illuminate the object under inspection, and a video camera for taking images of the object. The method has successfully been applied to a number of real objects.
[1] B.K.P Horn, "Understanding image intensities," Artif. Intell., vol. 8, no. 2, pp. 201-213, 1977.
[2] S.K. Nayar, K. Ikeuchi, and T. Kanade, "Surface Reflection: Physical and Geometrical Perspectives," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 7, pp. 611-634, 1991.
[3] K. Torrance and E. Sparrow, "Theory for off-specular reflection from roughened surfaces," J. Optical Soc. of Am., no. 57, pp. 1,105-1,114, 1967.
[4] R.J. Woodham, "Reflectance map techniques for analyzing surface defects in metal castings," PhD thesis, Artificial Intelligence Laboratory, MIT, Cambridge, Mass., 1978.
[5] K. Ikeuchi, "Determining the surface orientations of specular surfaces by using the photometric stereo method," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, no. 6, pp. 661-669, Nov. 1981.
[6] S.K. Nayar, A.C. Sanderson, L.E. Weiss, and D.D. Simon, "Specular surface inspection using structured highlight and Gaussian images," IEEE Trans. Robotics and Automat., vol. 6, no. 2, pp. 208-218, Apr. 1990.
[7] E.N. Coleman and R. Jain, "Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry," Comput. Graphics and Image Processing, vol. 18, no. 4, pp. 309-328, Apr. 1982.
[8] G. Healey and T.O. Binford, "Local shape from specularity," Comput. Vision Graphics and Image Processing, vol. 42, pp. 62-86, 1988.
[9] S.K. Nayar, K. Ikeuchi, and T. Kanade, "Determining shape and reflectance of hybrid surfaces by photometric sampling," IEEE Trans. Robotics and Automat., vol. 6, no. 4, pp. 418-431, 1990.
[10] K. Ikeuchi and K. Sato, “Determining Reflectance Properties of an Object Using Range and Brightness Images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 11, pp. 1139-1153, Nov. 1991.
[11] P.R. Bevington, Data Reduction and Error Analysis for the Physical Sciences, pp. 56-65.New York: McGraw-Hill, 1969.
[12] L. Wolff, "Spectral and polarization stereo methods using a single light source," IEEE Int'l Conf. Comput. Vision, pp. 708-715, 1987.
[13] L. Wolff, "Shape from polarization images," IEEE Workshop Comput. Vision, pp. 79-85, 1987.
[14] F. Solomon and K. Ikeuchi, "Extracting the shape and roughness of specular lobe objects using four light photometric stereo," CMU-RI-TR-91-17, Oct. 1991.
[15] M. Oren and S.K. Nayar, “Generalization of the Lambertian Model and Implications for Machine Vision,” Int'l J. Computer Vision, vol. 14, no. 3, pp. 227-251, 1995.
[16] R. Onn and A. Bruckstein, "Integrability disambiguates surface recovery in two-image photometric stereo," Int'l J. Comput. Vision, vol. 5, no. 1, pp. 105-113, 1990.
[17] H. Tagare and F. de Figueiredo, "A theory of photometric stereo for a class of diffuse non-Lambertian surfaces," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 2, pp. 133-152, 1991.

