Projective analysis for 3D shape segmentation

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3D Shape Segmentation with Projective Convolutional Networks (2016, background): “[51] segment 3D shapes by warping and matching binary images of their projected views with segmented 2D images through Hausdorff distances.”
GIFT: A Real-Time and Scalable 3D Shape Search Engine (2016, background): “…upon 2D observations, projective analysis [21] has became a basic and inherent tool in 3D shape domain for a long time, with applications to segmentation [39], matching [25], reconstruction, etc .. Speciﬁcally in 3D shape retrieval, projection-based methods demonstrate impressive performances.”
3D Mesh Labeling via Deep Convolutional Neural Networks (2015, background): “On the contrary, supervised or semisupervised approaches [ Kalogerakis et al. 2010; Lv et al. 2012; Wang et al. 2012, 2013; Xie et al. 2014] were also proposed to tackle this problem.”