{'fraction_non_alphanumeric': 0.012522361359570662, 'fraction_numerical': 0.0035778175313059034, 'mean_word_length': 5.588235294117647, '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}}
Dense and continuous depth estimation using a sliding camera

3D information of real-world scenes provides important clues for many computer vision tasks. We present a simple but effective sliding camera system as well as a corresponding stereo reconstruction framework to retrieve 3D information of static scenes. By fusing geometric properties of the sliding camera system, our reconstruction algorithm achieves higher accuracy than conventional methods in quantitative experiments. Besides, the practicality of our system is validated on real world scenes.