Counter camouflage through the removal of reflectance
Sun, J. (2010) Counter camouflage through the removal of reflectance. In: 2010 IEEE The 3rd International Conference on Machine Vision, Hong Kong, 27 December 2010. Available from: http://eprints.uwe.ac.uk/11992
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Publisher's URL: http://www.ijcte.org/icmv/
This paper presents a new strategy to counter camouflage by capturing (one more) additional images of same scene. The strategy is based on a technique we call 'two-light photometric stereo', which can remove disruptive reflectance from luminance images to generate synthetically shaded images related only to surface shape information. It becomes easier to perceive concealed information from virtually shaded images free from the effects of a confusing reflectance texture. Various rendered images, corresponding to different synthetic illumination configurations are generated to offer an improved visualization, countering the effects of camouflage. Experiments results are presented using scenes possessing different conventionally 'difficult' back and foreground camouflage. The results verify that the proposed low-cost and robust technique may be used for perception research, security and military applications. Future work will extend the method to more challenging objects in outdoor environments.