Issue No. 05 - May (1993 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.211463
<p>A strategy for acquiring 3-D data of an unknown scene, using range images obtained by a light stripe range finder is addressed. The foci of attention are occluded regions, i.e., only the scene at the borders of the occlusions is modeled to compute the next move. Since the system has knowledge of the sensor geometry, it can resolve the appearance of occlusions by analyzing them. The problem of 3-D data acquisition is divided into two subproblems due to two types of occlusions. An occlusion arises either when the reflected laser light does not reach the camera or when the directed laser light does not reach the scene surface. After taking the range image of a scene, the regions of no data due to the first kind of occlusion are extracted. The missing data are acquired by rotating the sensor system in the scanning plane, which is defined by the first scan. After a complete image of the surface illuminated from the first scanning plane has been built, the regions of missing data due to the second kind of occlusions are located. Then, the directions of the next scanning planes for further 3-D data acquisition are computed.</p>
3D data acquisition; next view planning; image recognition; computer vision; range images; light stripe range finder; occlusions; laser light; scanning plane; computer vision; image recognition; planning (artificial intelligence)
J. Maver and R. Bajcsy, "Occlusions as a Guide for Planning the Next View," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 417-433, 1993.