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Approximative iso-values estimation in the marching cubes based 3D thermal model reconstruction of indoor environments This paper presents approximate methods to estimate iso-values in 3D thermal model reconstruction of indoor environments. The input data is represented in the form of registered point clouds with added temperature information obtained using 3D laser scanner and thermal imaging camera. They are then registered to the common coordinate system using SLAM6D. Marching cubes based algorithm for pointcloud polygonalisation using standard Gaussian-like iso-values estimation, as well as proposed approximations, is utilized in order to produce a 3D mesh of an indoor environment with added temperature information. The effectiveness and quality performance of proposed approximative methods are verified through their comparisons with standard Gaussian-like estimation.