CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2005 vol.27 Issue No.02 - February
Issue No.02 - February (2005 vol.27)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2005.22
Cast shadows can be significant in many computer vision applications, such as lighting-insensitive recognition and surface reconstruction. Nevertheless, most algorithms neglect them, primarily because they involve nonlocal interactions in nonconvex regions, making formal analysis difficult. However, many real instances map closely to canonical configurations like a wall, a V-groove type structure, or a pitted surface. In particular, we experiment with 3D textures like moss, gravel, and a kitchen sponge, whose surfaces include canonical configurations like V-grooves. This paper takes a first step toward a formal analysis of cast shadows, showing theoretically that many configurations can be mathematically analyzed using convolutions and Fourier basis functions. Our analysis exposes the mathematical convolution structure of cast shadows and shows strong connections to recent signal-processing frameworks for reflection and illumination.
Cast shadows, convolution, Fourier analysis, eigenmodes, V-grooves.
Ravi Ramamoorthi, Melissa Koudelka, Peter Belhumeur, "A Fourier Theory for Cast Shadows", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, no. 2, pp. 288-295, February 2005, doi:10.1109/TPAMI.2005.22