Depth estimation using structured light flow -- analysis of projected pattern flow on an object's surface --

摘要

Shape reconstruction techniques using structured light have been widelyresearched and developed due to their robustness, high precision, and density.Because the techniques are based on decoding a pattern to find correspondences,it implicitly requires that the projected patterns be clearly captured by animage sensor, i.e., to avoid defocus and motion blur of the projected pattern.Although intensive researches have been conducted for solving defocus blur, fewresearches for motion blur and only solution is to capture with extremely fastshutter speed. In this paper, unlike the previous approaches, we activelyutilize motion blur, which we refer to as a light flow, to estimate depth.Analysis reveals that minimum two light flows, which are retrieved from twoprojected patterns on the object, are required for depth estimation. Toretrieve two light flows at the same time, two sets of parallel line patternsare illuminated from two video projectors and the size of motion blur of eachline is precisely measured. By analyzing the light flows, i.e. lengths of theblurs, scene depth information is estimated. In the experiments, 3D shapes offast moving objects, which are inevitably captured with motion blur, aresuccessfully reconstructed by our technique.