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Erschienen in:
Color Conversion for Color Blindness Employing Multilayer Neural Network with Perceptual Model Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Simultaneous Camera, Light Position and Radiant Intensity Distribution Calibration

verfasst von : Marco Visentini-Scarzanella, Hiroshi Kawasaki

Erschienen in: Image and Video Technology

Verlag: Springer International Publishing

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Abstract

We propose a practical method for calibrating the position and the Radiant Intensity Distribution (RID) of light sources from images of Lambertian planes. In contrast with existing techniques that rely on the presence of specularities, we prove a novel geometric property relative to the brightness of Lambertian planes that allows to robustly calibrate the illuminant parameters without the detrimental effects of view-dependent reflectance and a large decrease in complexity. We further show closed form solutions for position and RID of common types of light sources. The proposed method can be seamlessly integrated within the camera calibration pipeline, and its validity against the state-of-the-art is shown both on synthetic and real data.

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Vorheriges Kapitel Volume-Based Semantic Labeling with Signed Distance Functions
Nächstes Kapitel A General Vocabulary Based Approach for Fine-Grained Object Recognition
Fußnoten
1
Full expressions given in the supplementary material.
 
Literatur
1.
Ciuti, G., Visentini-Scarzanella, M., Dore, A., Menciassi, A., Dario, P., Yang, G.Z.: Intra-operative monocular 3D reconstruction for image-guided navigation in active locomotion capsule endoscopy. In: IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 768–774 (2012)
2.
Collins, T., Bartoli, A.: 3D Reconstruction in laparoscopy with close-range photometric stereo. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part II. LNCS, vol. 7511, pp. 634–642. Springer, Heidelberg (2012)CrossRef
3.
Drbohlav, O., Chaniler, M.: Can two specular pixels calibrate photometric stereo? In: IEEE International Conference on Computer Vision (ICCV), vol. 2, pp. 1850–1857, October 2005
4.
Higo, T., Matsushita, Y., Joshi, N., Ikeuchi, K.: A hand-held photometric stereo camera for 3-D modeling. In: IEEE International Conference on Computer Vision (ICCV), pp. 1234–1241, September 2009
5.
Liao, M., Wang, L., Yang, R., Gong, M.: Light fall-off stereo. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–8, June 2007
6.
Maier-Hein, L., Groch, A., Bartoli, A., Bodenstedt, S., Boissonnat, G., Chang, P.L., Clancy, N., Elson, D., Haase, S., Heim, E., Hornegger, J., Jannin, P., Kenngott, H., Kilgus, T., Muller-Stich, B., Oladokun, D., Rohl, S., dos Santos, T., Schlemmer, H.P., Seitel, A., Speidel, S., Wagner, M., Stoyanov, D.: Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction. IEEE Trans. Med. Imag. 33(10), 1913–1930 (2014)CrossRef
7.
Malti, A., Bartoli, A., Collins, T.: Template-based conformal shape-from-motion-and-shading for laparoscopy. In: Abolmaesumi, P., Joskowicz, L., Navab, N., Jannin, P. (eds.) IPCAI 2012. LNCS, vol. 7330, pp. 1–10. Springer, Heidelberg (2012)CrossRef
8.
Mecca, R., Wetzler, A., Bruckstein, A.M., Kimmel, R.: Near field photometric stereo with point light sources. SIAM J. Imag. Sci. 7(4), 2732–2770 (2014)MathSciNetCrossRefMATH
9.
10.
Park, J., Sinha, S., Matsushita, Y., Tai, Y.W., Kweon, I.S.: Multiview photometric stereo using planar mesh parameterization. In: IEEE International Conference on Computer Vision (ICCV), pp. 1161–1168, December 2013
11.
Park, J., Sinha, S., Matsushita, Y., Tai, Y.W., Kweon, I.S.: Calibrating a non-isotropic near point light source using a plane. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2267–2274, June 2014
12.
Park, J., Sinha, S., Matsushita, Y., Tai, Y.W., Kweon, I.S.: Supplementary material for: ‘calibrating a non-isotropic near point light source using a plane’, June 2014
13.
Powell, M., Sarkar, S., Goldgof, D.: A simple strategy for calibrating the geometry of light sources. IEEE Trans. Pattern Anal. Mach. Intell. 23(9), 1022–1027 (2001)CrossRef
14.
Rykowski, R., Kostal, H.: Novel approach for led luminous intensity measurement. In: Conference of Society of Photo-Optical Instrumentation Engineers (SPIE), vol. 6910, February 2008
15.
Schnieders, D., Wong, K.Y.K.: Camera and light calibration from reflections on a sphere. Comput. Vis. Image Underst. 117(10), 1536–1547 (2013)CrossRef
16.
Simons, R., Bean, A.: Lighting Engineering: Applied Calculations. Routeledge, London (2012)
17.
Stoyanov, D., Elson, D., Yang, G.Z.: Illumination position estimation for 3D soft-tissue reconstruction in robotic minimally invasive surgery. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2628–2633, October 2009
18.
Takai, T., Niinuma, K., Maki, A., Matsuyama, T.: Difference sphere: an approach to near light source estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. I-98-I-105, June 2004
19.
Tan, H.Y., Ng, T.W.: Light-emitting-diode inspection using a flatbed scanner. Opt. Eng. 47(10), 103602–103602 (2008)MathSciNetCrossRef
20.
Tankus, A., Sochen, N., Yeshurun, Y.: Reconstruction of medical images by perspective shape-from-shading. Int. Conf. Pattern Recogn. (ICPR) 3, 778–781 (2004)
21.
Visentini-Scarzanella, M., Hanayama, T., Masutani, R., Yoshida, S., Kominami, Y., Sanomura, Y., Tanaka, S., Furukawa, R., Kawasaki, H.: Tissue shape acquisition with a hybrid structured light and photometric stereo endoscopic system. In: Luo, X., Reichl, T., Reiter, A., Mariottini, G.L. (eds.) Computer-Assisted and Robotic Endoscopy (CARE). LNCS, pp. 26–37. Springer, Heidelberg (2015)
22.
Visentini-Scarzanella, M., Stoyanov, D., Yang, G.Z.: Metric depth recovery from monocular images using shape-from-shading and specularities. In: IEEE International Conference on Image Processing (ICIP), Orlando, USA, pp. 25–28 (2012)
23.
Vogiatzis, G.: Self-calibrated, multi-spectral photometric stereo for 3D face capture. Int. J. Comput. Vis. 97(1), 91–103 (2012)CrossRef
24.
Weber, M., Cipolla, R.: A practical method for estimation of point light-sources. In: British Machine Vision Conference (BMVC), pp. 1–10, September 2001
25.
Wong, K.-Y.K., Schnieders, D., Li, S.: Recovering Light Directions and Camera Poses from a Single Sphere. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 631–642. Springer, Heidelberg (2008)CrossRef
26.
Wu, C., Narasimhan, S.G., Jaramaz, B.: A multi-image shape-from-shading framework for near-lighting perspective endoscopes. Int. J. Comput. Vis. 86, 211–228 (2010)MathSciNetCrossRef
27.
Zhou, W., Kambhamettu, C.: A unified framework for scene illuminant estimation. Image Vis. Comput. 26(3), 415–429 (2008)CrossRef
Metadaten
Titel
Simultaneous Camera, Light Position and Radiant Intensity Distribution Calibration
verfasst von
Marco Visentini-Scarzanella
Hiroshi Kawasaki
Copyright-Jahr
2016
Buch
Image and Video Technology

Print ISBN: 978-3-319-29450-6

Electronic ISBN: 978-3-319-29451-3

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-29451-3_44

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