A complete statistical inverse ray tracing approach to multi-view stereo

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Hierarchical Surface Prediction for 3D Object Reconstruction (2017, background): “These types of supervisions utilize ray formulations which originally have been proposed for multiview reconstruction [23], [29].”
Discrete optimization of ray potentials for semantic 3D reconstruction (2015, background): “A Markov Random Field (MRF) formulation over rays has been proposed to estimate surface geometry and appearance jointly [17, 18].”
Joint 3D Scene Reconstruction and Class Segmentation (2013, background): “A completely sound graphical model relating image observations with occupancy states of 3D voxels requires observation likelihoods corresponding to clique potentials with entire rays in 3D forming cliques (e.g. [14]).”
Large Scale Multi-view Stereopsis Evaluation (2014, background): “Most successful MVS algorithms can be divided into two main categories: point-cloud based (e.g. [3, 5, 7, 19, 20]) and volume-based methods (e.g. [6, 11, 12]).”
Large-Scale Data for Multiple-View Stereopsis (2016, methodology): “…can be divided into two main categories: point-cloud-based methods (e.g. Campbell et al. 2008; Tola et al. 2012; Goesele et al. 2006; Hiep et al. 2009; Furukawa and Ponce 2010; Vogiatzis et al. 2007) and volume-based methods (e.g. Liu and Cooper 2011; Kolev et al. 2012; Hernández et al. 2007).”