H. Mitchell, "Progress in the Adaptation of Shape-from-Shading to Human Body Shape Measurement", in Proc. of 6th Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2015, pp. 202-209, doi:10.15221/15.202.
Progress in the Adaptation of Shape-from-Shading to Human Body Shape Measurement
School of Engineering, University of Newcastle, Newcastle, Australia
Shape-from-shading (SFS) is a process of determining an object's three-dimensional surface shape by using nothing more than the radiometric levels in an image of the object. SFS is feasible only with objects which have even optical texture and whose shapes are free from sharp curvature and discontinuities. Human body surfaces typically satisfy both these optical and physical texture requirements. SFS is also simple and cheap. Its major disadvantage is that, if only a single image of an object is used, it is impossible to quantify 3D shape variation using SFS - unless some approximations or assumptions are made. This paper is a report into an investigation which seeks to adapt single-image SFS to reliable human body shape measurement. An approximated mathematical model used to convert images to three-dimensional shapes aims to minimise the use of integration in the determination of surface shape. Since earlier reports on the project, the errors which occur in this process have been quantified. The paper outlines some theoretical concepts. The theory has been verified on simulated surfaces, and tested with real images of geometric shapes and real human body measurement. It is concluded that SFS techniques should be possible for the measurement of some body surfaces which have low levels of gradients and only a small degree of curvature.
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