{'fraction_non_alphanumeric': 0.017707362534948742, 'fraction_numerical': 0.0065237651444548, 'mean_word_length': 5.548780487804878, '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}}
Axially distributed 3D imaging and reconstruction

Three-dimensional (3D) imaging systems are being researched extensively for purposes of sensing and visualization in fields as diverse as defense, medical imaging, art, and entertainment. An overview on a multi-view imaging system in an axially distributed sensing architecture for three dimensional is presented. In this configuration, the sensor moves along its optical axis and collects 2D imagery which can be computationally reconstructed at arbitrary depths in the object space. When compared to traditional 2D imaging techniques, 3D imaging offers advantages in ranging, robustness to scene occlusion, and target recognition performance. The proposed imaging system is different than conventional multiview imaging systems, such as integral imaging, in the sense that collection of 3D information is not uniform across the field of view and in many cases the inherent linear motion of the platform can be exploited for 3D image acquisition. The system parameters are analyzed and experimental results are presented.