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Abstract:
By
researching into the shape from shading(SFS) problem and supporting
vector machine(SVM), a shape recovery method from light and shade based
on SVM is proposed. The theoretical basis and feasibility of this method
are analyzed, and key problems such as the determination of SVM input
parameters and the choosing and constructing of core function are
discussed. Examples show that compared to traditional SFS method, the
method can acquire directly the height of an object relatively
accurately, is affected by the environment slightly and need very few
imaging condition assumption. At last, the direction to improve the
method is discussed.
Key words: Shape
from shading Supporting vector machine Kernel function Depth
forecast
CLC No: TP391
国家自然科学基金资助项目(50405009).
Received 20050716, received in revised form 20060215
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