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Volume: 31 | Article ID: art00029
LiDAR assisted large-scale privacy protection in street view cycloramas
  DOI :  10.2352/ISSN.2470-1173.2019.11.IPAS-281  Published OnlineJanuary 2019

Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive information from these images. However, the processing cost of blurring increases with the ever growing resolution of images. We propose a system that is cost-effective even after increasing the resolution by a factor of 2.5. The new system utilizes depth data obtained from LiDAR to significantly reduce the search space for detection, thereby reducing the processing cost. Besides this, we test several detectors after reducing the detection space and provide an alternative solution based on state-of-the-art deep learning detectors to the existing HoG-SVM-Deep system that is faster and has a higher performance.

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Clint Sebastian, Bas Boom, Egor Bondarev, Peter H.N. de With, "LiDAR assisted large-scale privacy protection in street view cycloramasin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVII,  2019,  pp 281-1 - 281-6,

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