%0 Conference Proceedings
%4 sid.inpe.br/banon/2004/10.05.12.28
%2 sid.inpe.br/banon/2004/10.05.12.28.40
%@doi 10.1109/SIBGRA.2004.1352960
%T From photometric-motion to shape from shading
%D 2004
%A Torreão, José Ricardo de Almeida,
%A Fernandes, João Luiz,
%@affiliation Universidade Federal Fluminense
%@affiliation Pontifícia Universidade Católica do Paraná
%E Araújo, Arnaldo de Albuquerque,
%E Comba, João Luiz Dihl,
%E Navazo, Isabel,
%E Sousa, Antônio Augusto de,
%B Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
%C Curitiba, PR, Brazil
%8 17-20 Oct. 2004
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K computer vision, shape estimation, Green's function.
%X A new approach to shape estimation from shading input has been recently introduced through the processes of disparity-based photometric stereo (DBPS) and Green's function shape from shading (GSFS). Both processes start from a pair of constraints - a matching constraint and a photometric constraint - to arrive at a closed-form expression for the depth function of the imaged surface. In DBPS, the matching equation is solved for the disparity map, given a pair of photometric stereo images, while in GSFS, which extends the previous approach to single-input reconstruction, that equation is solved for the matching image, via Green's function. Adopting a similar framework, we have recently used photometric and matching constraints for deriving a new approach to the photometric-motion shape estimation problem. Here we show how we can extend that process to the single-input case, via Green's function. This yields high quality shape-from-shading estimates, even from real input obtained under complex illumination.
%@language en
%3 Torreao_Fernandes.pdf