Enriching object detection with 2D-3D registration and continuous viewpoint estimation

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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction (2016, background): “on as shown in [17,18]. The shape priors are typically encoded in the form of simple 3D primitives as demonstrated by early pioneering works [19,20] or learned from rich repositories of 3D CAD models [21,22,23], whereby the concept of tting 3D models to images of faces was explored to a much larger ”
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views (2015, methodology): “A first line of work has used manually-designed feature detectors and adapted them, for example by adding a mask, so that they focus on the information available in both CAD models and real images [3, 9, 56].”