Reference TypeConference Proceedings
Citation KeyTorrećo:2000:ShShIn
AuthorTorrećo, José R. A.
TitleShape from shading and intensity gradient
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado, RS, Brazil
Keywordscomputer vision, shape from shading, intensity gradient, shape estimation, brightness gradient, Green function approach, shape-from-shading, GSFS, single brightness image, uniform disparity field, matching image, linear expansion, reflectance map, surface gradient, closed-form depth map, free parameters, parameter estimation, depth estimate, higher-frequency components, imaged surface, real images, computer vision technique.
AbstractWe present a novel algorithm for shape estimation, using both brightness and brightness gradient as input data. Our algorithm is an improvement of the recently introduced Green's function approach to shape-from-shading (GSFS). In GSFS, we assume that the single brightness image will be matched to a second image through a uniform disparity field, and solve for the matching image via Green's function. When a linear expansion of the reflectance map is considered, the matching image can be related to surface gradient, leading to a closed-form depth map whose free parameters are easily estimated. The author shows that the same procedure can be repeated with the gradient image as input; a second depth estimate thus results which takes into account higher-frequency components of the imaged surface. Extensive experimentation with synthetic and real images corroborates the advantage of the new method.
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
OrganizationSBC - Brazilian Computer Society
Tertiary TypeFull Paper
Size689 KiB
Number of Files1
Target File7-14.pdf
Last Update2002: administrator
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