Multiple View Camera Calibration for Localization

The recent development of distributed smart camera networks allows for automated multiple view processing. Quick and easy calibration of uncalibrated multiple camera setups is important for practical uses of such systems by non-experts and in temporary setups. In this paper we discuss options for calibration, illustrated with a basic two-camera setup where each camera is a smart camera mote with a highly parallel SIMD processor and an 8051 microcontroller. In order to accommodate arbitrary (lens) distortion, perspective mapping and transforms for which no analytic inverse is known, we propose the use of neural networks to map projective grid space back to Euclidean space for use in 3D localization and 3D view interpretation.