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The mechanical behavior of anisotropic materials is often governed by the distribution of fibrous constituents. In biological tissue, this role is predominantly taken up by collagen fibers, whose orientation plays a crucial part in constitutive modeling. A common exper- imental method for investigating such fiber networks is the two-dimensional analysis of differently oriented planar sections of the tissue in question. We show that a finite number of these two-dimensional projections is in general insufficient to unambiguously infer the full three-dimensional fiber orientation. We overcome this lack of information by choosing the distribution of maximum entropy. By approximating the fiber orientation via a series representation on the sphere, we reduce the reconstruction to a surprisingly simple optimization problem. The resulting algorithm is able to deduce the three-dimensional distribution of fibers from any number of differently oriented projections. We illustrate the validity of the approach using different sets of real data.