COURSE: Coding Depth through Mask Structure (EG 2012). Prof. Manuel de Oliveira

Prof. Manuel de Oliveira
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil

ABSTRACT. Coding Depth through Mask Structure (EG 2012) I will present a coded-aperture method based on a family of masks obtained as the convolution of one "hole" with a structural component consisting of an arrangement of Dirac delta functions. We call the arrangement of delta functions the structural component of the mask, and use it to efficiently encode scene distance information. I will show that the structural component transitions from well conditioned to ill conditioned as the relative weight of the central peak varies with respect to the lateral ones. For the well-conditioned structural components, deconvolution is efficiently performed by inverse filtering, allowing for fast estimation of scene depth. I will demonstrate the effectiveness of our approach by constructing a mask for distance coding and using it to recover pairs of distance maps and structurally-deconvolved images from single photographs. For this application, we obtain significant speedup, and extended range and depth resolution compared to previous techniques.  http://www.inf.ufrgs.br/~oliveira/Fortunato_Oliveira_EG2012_Coding_Depth_through_Mask_Structure.pdf

Ha obtenido financiación de la Dirección General de Política    Universitaria, Ministerio de Educación, Cultura y Deporte, a través de    las subvenciones para profesores visitantes en programas de masteres    oficiales.