Abstract
The reconstruction of 3D information in a scene in relative motion with respect to a visual sensor is a basic issue in many applications, like image processing and computer graphics, object recognition, computer vision, robotics. The technique presented in this paper exploits the information of 2D multiple perspective views of an object to first compute the spatial position and orientation of the camera, for each view, on the base of a motion recovery from corresponding points approach, and then to build a volumetric model of the object from occluding contours. Finally, the model is integrated with the pictorial information extracted from the views, at a resolution independent from the volumetric one. Some experimental results are also presented.
Work supported by the Italian Ministry of Education (MPI 40%) and by Eureka-Prometheus
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© 1989 Springer-Verlag Berlin Heidelberg
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Braccini, C., Grattarola, A., Zappatore, S. (1989). Volumetric and pictorial reconstruction of 3D objects from correspondences in moving 2D views. In: Cantoni, V., Creutzburg, R., Levialdi, S., Wolf, G. (eds) Recent Issues in Pattern Analysis and Recognition. Lecture Notes in Computer Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51815-0_58
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DOI: https://doi.org/10.1007/3-540-51815-0_58
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