Surface reconstruction using neural network mapping of range-sensor images to object space

摘要

Range sensors that employ structured-,light triangulation techniques often require calibration procedures, based on the sys- tem optics and geometry, to relate the captured image data to object coordinates. A Bernstein basis function (BBF) neural network that directly maps measured image coordinates to object coordinates is described in this paper. The proposed technique eliminates the need to explicitly determine the sensor's optimal can geometric pa- rameters by creating a functional map between image-to-object co- ordinates.