Digital holography allows one to sense and reconstruct the amplitude and phase of a wavefront reflected from or
transmitted through a real-world three-dimensional (3D) object. However, some combinations of hologram capture setup
and 3D object pose problems for the reliable reconstruction of quantitative phase information. In particular, these are
cases where the twin image or noise corrupts the reconstructed phase. In such cases it is usual that only amplitude is
reconstructed and used as the basis for metrology. A focus criterion is often applied to this reconstructed amplitude to
extract depth information from the sensed 3D scene. In this paper we present an alternative technique based on applying
conventional stereo computer vision algorithms to amplitude reconstructions. In the technique, two perspectives are
reconstructed from a single hologram, and the stereo disparity between the pair is used to infer depth information for
different regions in the field of view. Such an approach has inherent simplifications in digital holography as the epipolar
geometry is known a priori. We show the effectiveness of the technique using digital holograms of real-world 3D
objects. We discuss extensions to multi-view algorithms, the effect of speckle, and sensitivity to the depth of field of
reconstruction