Title :
A symbolic approach to reconstruct polyhedral scene from single 2D line drawing
Author :
Chen, Ying ; Li, Hongbo
Author_Institution :
Dept. of Basic Sci., Beijing Electron. Sci. & Technol. Inst., Beijing
Abstract :
Scene reconstruction based on polyhedral solids is an important problem in computer vision. Generally speaking, an efficient representation is to use a line drawing which is regarded as a projection of the 3D object. In this paper, we consider a single line drawing whose face topology is already known and all the vertices are given in the 2D projection. To recover the possible 3D polyhedra which project to the line drawing, we present a symbolic geometric algorithm based on the Grassmann-Cayley algebra. A number of examples demonstrate its outstanding performance which can lead to an very significant simplifications in symbolic manipulation of geometric data.
Keywords :
computational geometry; image reconstruction; topology; 3D polyhedra; Grassmann-Cayley algebra; face topology; geometric data; polyhedral scene reconstruction; single 2D line drawing; Algebra; Computer vision; Equations; Face detection; Image reconstruction; Layout; Mathematics; Solids; Sufficient conditions; Topology;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670803