{'fraction_non_alphanumeric': 0.01647058823529412, 'fraction_numerical': 0.002352941176470588, 'mean_word_length': 5.350746268656716, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Surface Reconstruction using optical flow and Stereo Vision

Scanning Electron Microscopy (SEM) is a tool used in a broad range of scientific and engineering applications. For instance, in materials science it is used to characterize the surface roughness and wear of materials. Despite the capability of SEM to obtain three-dimensionallike images, further manipulation of the images is necessary to obtain real three-dimensional information. In this paper, we present a fully automated method based on the differential technique for estimating Optical Flow for 3D reconstruction from a stereo pair. Stereo pairs are acquired by tilting a specimen a few degrees depending of the characteristics of the surface. With this methodology we obtained a good 3D approximation for different kinds of surfaces revealing valuable three-dimensional information.