M. Arnold, A. Ghosh, S. Ameling, and G. Lacey, Automatic Segmentation and Inpainting of Specular Highlights for Endoscopic Imaging, EURASIP Journal on Image and Video Processing, vol.58, issue.6, p.9, 2010.
DOI : 10.1109/TITB.2003.813794

A. Blake and G. Brelstaff, Geometry From Specularities, [1988 Proceedings] Second International Conference on Computer Vision, 1988.
DOI : 10.1109/CCV.1988.590016

G. Brelstaff and A. Blake, Detecting Specular Reflections Using Lambertian Constraints, [1988 Proceedings] Second International Conference on Computer Vision, 1988.
DOI : 10.1109/CCV.1988.590004

A. Chhatkuli, A. Bartoli, A. Malti, and T. Collins, Live image parsing in uterine laparoscopy, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014.
DOI : 10.1109/ISBI.2014.6868106

T. Collins and A. Bartoli, Towards Live Monocular 3D Laparoscopy Using Shading and Specularity Information, Information Processing in Computer-Assisted Interventions, pp.11-21
DOI : 10.1007/978-3-642-30618-1_2

Y. Deng, H. Manjunath, and . Shin, Color image segmentation, Computer Vision and Pattern Recognition , CVPR, 1999.

J. Jachnik, R. A. Newcombe, and A. J. Davison, Real-time surface light-field capture for augmentation of planar specular surfaces, 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), p.2012
DOI : 10.1109/ISMAR.2012.6402544

K. Karsch, V. Hedau, D. Forsyth, and D. Hoiem, Rendering synthetic objects into legacy photographs, ACM Transactions on Graphics (TOG), vol.30, issue.6, p.157, 2011.
DOI : 10.1145/2070781.2024191
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.4300

P. Lagger, M. Salzmann, V. Lepetit, and P. Fua, 3D pose refinement from reflections, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587498

J. Heinrich, L. David, and L. Dilaura, Photometry , or, on the measure and gradations of light, colors, and shade, 2001.

S. Lee, K. Tae-ho-yoon, K. Kim, W. Kim, and . Park, Removal of specular reflections in tooth color image by perceptron neural nets, 2010 2nd International Conference on Signal Processing Systems, 2010.
DOI : 10.1109/ICSPS.2010.5555624

A. Netz and M. Osadchy, Recognition Using Specular Highlights, Conference on Computer Vision and Pattern Recognition, CVPR, 2013.
DOI : 10.1109/TPAMI.2012.127

J. Oh, S. Hwang, J. Lee, W. Tavanapong, J. Wong et al., Informative frame classification for endoscopy video, Medical Image Analysis, vol.11, issue.2, pp.110-127, 2007.
DOI : 10.1016/j.media.2006.10.003

F. Ortiz and F. Torres, A New Inpainting Method for Highlights Elimination by Colour Morphology, Pattern Recognition and Image Analysis, pp.368-376, 2005.
DOI : 10.1007/11552499_42

C. Saint-pierre, J. Boisvert, G. Grimard, and F. Cheriet, Detection and correction of specular reflections for automatic surgical tool segmentation in thoracoscopic images, Machine Vision and Applications, vol.10, issue.4, 2011.
DOI : 10.1007/s00138-007-0099-6

A. Steven and . Shafer, Using color to separate reflection components, Color Research & Application, vol.10, issue.4, pp.210-218, 1985.

T. Stehle, Removal of specular reflections in endoscopic images, Acta Polytechnica : Journal of Advanced Engineering, vol.46, issue.4, pp.32-36, 2006.

S. Suzuki, Topological structural analysis of digitized binary images by border following, Computer Vision, Graphics, and Image Processing, vol.30, issue.1, pp.32-46, 1985.
DOI : 10.1016/0734-189X(85)90016-7

T. Robby, K. Tan, K. Nishino, and . Ikeuchi, Separating reflection components based on chromaticity and noise analysis. Pattern Analysis and Machine Intelligence, pp.1373-1379, 2004.

F. Torres, J. Angulo, and F. Ortiz, Automatic Detection of Specular Reflectance in Colour Images Using the MS Diagram, Computer Analysis of Images and Patterns, CAIP, 2003.
DOI : 10.1007/978-3-540-45179-2_17