Pattern Recognition, International Conference on (2006)
Aug. 20, 2006 to Aug. 24, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.379
Roberto Fraile , University of York
Edwin R. Hancock , University of York
Graph-Spectral surface integration techniques construct an integration path assuming that the surface contains a path along which the integration error is minimal. This paper presents a generalisation that uses Minimum Spanning Trees of the weighted grid graph of surface normals, which scales with no need for surface segmentation. The problem of choosing an integration path is reduced to defining a local weight function. The method is assessed at weighting human face surface normals with geometric and information-theoretic functions of local support.
E. R. Hancock and R. Fraile, "Combinatorial Surface Integration," 2006 18th International Conference on Pattern Recognition(ICPR), Hong Kong, 2006, pp. 59-62.