Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Visual methods for three-dimensional modeling
Visual methods for three-dimensional modeling
The Raxel Imaging Model and Ray-Based Calibration
International Journal of Computer Vision
Structured Light in Scattering Media
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Automatic high-precision self-calibration of camera-robot systems
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Video-based reconstruction of animatable human characters
ACM SIGGRAPH Asia 2010 papers
Theory and calibration for axial cameras
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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In underwater computer vision, images are influenced by the water in two different ways. First, while still traveling through the water, light is absorbed and scattered, both of which are wavelength dependent, thus create the typical green or blue hue in underwater images. Secondly, when entering the underwater housing, the rays are refracted, affecting image formation geometrically. When using underwater images in for example Structure-from-Motion applications, both effects need to be taken into account. Therefore, we present a novel method for calibrating the parameters of an underwater camera housing. An evolutionary optimization algorithm is coupled with an analysis-by-synthesis approach, which allows to calibrate the parameters of a light propagation model for the local water body. This leads to a highly accurate calibration method for camera-glass distance and glass normal with respect to the optical axis. In addition, a model for the distance dependent effect of water on light propagation is parametrized and can be used for color correction.