Abstract
We present an active vision algorithm for computing the orientation and position of a locally planar object, onto which is cast a shadow of the edge of a half-plane at an unknown location. This algorithm utilises active position control of a point light source, and employs a Kalman filter to perform temporal integration of measurements. The light source position is adjusted after each measurement so as to reduce the trace of the expected state estimate error covariance matrix for the next measurement. We demonstrate the active shape-from-shadows algorithm using a real robotic system.
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Clark, J.J., Wang, L. Active Shape-from-Shadows with Controlled Illuminant Trajectories. International Journal of Computer Vision 43, 141–166 (2001). https://doi.org/10.1023/A:1011131412869
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DOI: https://doi.org/10.1023/A:1011131412869