The need for reducing greenhouse gas emissions from industrial facilities has motivated the development of new and more reliable techniques for gas leak localization and quantification. Optical gas imaging (OGI) systems offer a fast and intuitive approach by exploiting the absorption properties of gases, such as methane, in the infrared range. Based on this, several efforts have been made in the recent years for gaining additional quantitative information from the measurement data, e.g. gas concentration or gas velocity. In this work, a catadioptric stereo OGI system based on four planar mirrors and an OGI camera is proposed for computing spatio-temporal (also referred to as scene flow) information from stereo gas images. The proposed system represents a way to reduce the effects of temporal and radiometric differences and the cost and size of two-camera-based stereo OGI systems and leads to more reliable results under the tested conditions.
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Rangel et al. (2020) studied this question.
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