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Editorial for the Special Issue on Photometric Analysis for Computer Vision.

, , , , and . Int. J. Comput. Vis., 86 (2-3): 125-126 (2010)

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Hybrid homographies and fundamental matrices mixing uncalibrated omnidirectional and conventional cameras., , and . Mach. Vis. Appl., 24 (4): 721-738 (2013)A Historical Survey of Geometric Computer Vision.. CAIP (1), volume 6854 of Lecture Notes in Computer Science, page 1-8. Springer, (2011)Exploiting Image Collections for Recovering Photometric Properties., and . CAIP (2), volume 6855 of Lecture Notes in Computer Science, page 253-260. Springer, (2011)Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning., , , and . ICCV Workshops, page 815-823. IEEE Computer Society, (2017)Vision 3D non calibrée : contributions à la reconstruction projective et étude des mouvements critiques pour l'auto-calibrage. (Uncalibrated 3D Vision: Contributions to Projective Reconstruction and Study of the Critical Motions for Self-Calibration).. Grenoble Institute of Technology, France, (1997)Detection and avoidance of semi-transparent obstacles using a collective-reward based approach., and . ICRA, page 3469-3474. IEEE, (2011)A Badly Calibrated Camera in Ego-Motion Estimation Propagation of Uncertainty., and . CAIP, volume 1296 of Lecture Notes in Computer Science, page 183-190. Springer, (1997)Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects., , and . ICCV, page 317-324. IEEE Computer Society, (2005)Plane-based calibration of central catadioptric cameras., , and . ICCV, page 1195-1202. IEEE Computer Society, (2009)Camera Self-Calibration: A Case Against Kruppa's Equations.. ICIP (2), page 172-175. IEEE Computer Society, (1998)