Paper
17 August 1994 Toward surface reconstruction using multi-image shape from shading
Christian Heipke, Christian Piechullek
Author Affiliations +
Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182801
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
We investigate multi-image shape from shading. Using this method the heights and the albedo of the object surface are simultaneously estimated from the pixel grey values of any given number of images taken from arbitrary camera positions, and control information. The perspective projection is used for the transformation from object into image space. The existence and the uniqueness of the solution of the described algorithm is analyzed. The following results have been derived: (1) One image allows for the reconstruction of surface inclinations of a surface assumed to be a bilinear mesh. (2) Two images with different exterior orientation allow for the calculation of surface heights. It is not necessary to use conjugate points. (3) If at least three images with different light source positions are available, the reconstruction of arbitrary surfaces with varying albedo is possible. For selected cases the results are verified using synthetic images. The theoretical standard deviations of the unknown heights are used to assess the quality of the surface reconstruction.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian Heipke and Christian Piechullek "Toward surface reconstruction using multi-image shape from shading", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182801
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Cited by 2 scholarly publications.
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KEYWORDS
Light sources

Digital imaging

Chemical elements

Reflectivity

Image processing

Image sensors

Reconstruction algorithms

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