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Nayar, S. K., Bolle, R. M., 1996. Reflectance based object recognition. Int. J. Comput. Vis. 17(3),
pp. 219-240.
Nelder, J. A., Mead, R., 1965. A simplex method for function minimization. Comput. J. 7, pp. 308-
313.
Nehab, D., Rusinkiewicz, S., Davis, J., Ramamoorthi, R., 2005. Efficiently combining positions
and normals for precise 3D geometry. ACM Trans. Graph. 24, pp. 536-543.
Nehaniv, C. L., 2005: Classifying types of gesture and inferring intent. Proc. Symp. on Robot
Companions: Hard Problems and Open Challenges in Robot-Human Interaction, pp. 74-81.
The Society for the Study of Artificial Intelligence and the Simulation of Behaviour.
Neuenschwander, W., Fua, P., Iverson, L., Szekely, G., Kubler, O., 1997. Ziplock snakes. Int. J.
Comput. Vis. 25(3), pp. 191-201.
Neumann, G. A., 2009. Lunar Orbiter Laser Altimeter Raw Data Set, LRO-L-LOLA-4-GDR-
V1.0, NASA Planetary Data System. http://pds-geosciences.wustl.edu/missions/lro/lola.htm
(accessed November 01, 2011)
Nevatia, R., Babu, K. R., 1980. Linear feature extraction and description. Comput. Graph. Image
Process. 13, pp. 257-269.
Nickel, K., Seemann, E., Stiefelhagen, R., 2004. 3D-tracking of head and hands for pointing ges-
ture recognition in a human-robot interaction scenario. Proc. IEEE Int. Conf. on Automatic
Face and Gesture Recognition, Seoul, Korea, pp. 565-570.
Nickel, K., Stiefelhagen, R., 2004. Real-time person tracking and pointing gesture recognition for
human-robot interaction. Proc. Europ. Conf. on Computer Vision, Workshop on HCI, Prague,
Czech Republic. Lecture Notes in Computer Science 3058, pp. 28-38, Springer, Berlin.
Nicodemus, F. E., Richmond, J. C., Hsia, J. J., Ginsberg, I. W., Limperis, T., 1977. Geometrical
considerations and nomenclature for reflectance. US Department of Commerce, National Bu-
reau of Standards, Washington, DC, USA.
Niemann, H., Hornegger, J., 2001. A novel probabilistic model for object recognition and pose
estimation. Int. J. Pattern Recognit. Artif. Intell. 15(2), pp. 241-253.
Nomura, Y., Zhang, D., Sakaida, Y., Fujii, S., 1996. 3-d object pose estimation based on iterative
image matching: shading and edge data fusion. Proc. IEEE Int. Conf. on Computer Vision and
Pattern Recognition, pp. 866-871.
Nourbakhsh, I. R., Andre, D., Tomasi, C., Genesereth, M. R., 1997. Mobile robot obstacle avoid-
ance via depth from focus. Robot. Auton. Syst. 22, pp. 151-158.
Olague, G., Hernández, B., 2005. A new accurate and flexible model based multi-corner detector
for measurement and recognition. Pattern Recognit. Lett. 26(1), pp. 27-41.
Oren, M., Nayar, S., 1995. Generalization of the Lambertian model and implications for machine
vision. Int. J. Comput. Vis. 14(3), pp. 227-251.
Panin, G., Ladikos, A., Knoll, A., 2006. An efficient and robust real-time contour tracking system.
Proc. IEEE Int. Conf. on Computer Vision Systems, New York, USA, pp. 44-51.
Pavlovic, V., Sharma, R., Huang, T. S., 1997. Visual interpretation of hand gestures for human-
computer interaction: a review. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), pp. 677-695.
Pedrotti, F. L., 1993. Introduction to Optics. 2nd Edition, Prentice Hall, New York.
Pentland, A., 1987. A new sense for depth of field. IEEE Trans. Pattern Anal. Mach. Intell. 9,
pp. 523-531.
Pettengill, G. H., Eliason, E., Ford, P. G., Loriat, G. B., 1980. Pioneer Venus radar results: altimetry
and surface properties. J. Geophys. Res. 85, pp. 8261-8270.
Pieters, C. M., et al., 2009. The Moon mineralogy mapper (M3) on Chandrayaan-1. Curr. Sci.
96(4), 500-505.
Pike, R. J., Clow, G., 1981. Revised Classification of Terrestrial Volcanoes and Catalogue of To-
pographic Dimensions, with new Results of Edifice Volume. US Geological Survey Open-File
Report 81-1038.
Phong, B. T., 1975. Illumination for computer generated pictures. Commun. ACM 18(6), pp. 311-
317.
Phong, T. Q., Horaud, R., Yassine, A., Tao, P. D., 1996. Object pose from 2-D to 3-D point and
line correspondences. Int. J. Comput. Vis. 15(3), pp. 225-243.
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