The singularities of the visual mapping

By Jan J. Koenderink, Andrea J. Koenderink-van Doorn. 1976

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Citations in the corpus

Multi-view Convolutional Neural Networks for 3D Shape Recognition (2015, background): “Cyr and Kimia [8] defined similarity metrics based on curve matching and grouped similar views, called aspect graphs of 3D models [18].”
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation (2018, neutral): “Multi-View Representation Our work connects to multi-view representations which capture the characteristics of a 3D object from multiple viewpoints in 2D [17, 26, 42, 32, 12, 39, 34], such as decomposing image silhouettes [23? ], Light Field Descriptors [2], and 2D panoramic mapping [38].”
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views (2015, methodology): “3D Object Detection Most 3D object detection methods are based on representing objects with discriminative features for points [4], patches [6] and parts [19, 29, 34], or by exploring topological structures [15, 2, 3].”
Three-dimensional shape searching: state-of-the-art review and future trends (2005, unknown): “Aspect graph The aspect graph representation [78,79] identifies regions of the viewing sphere where equivalent views and neighborhood relations on the viewing sphere generate a graphical structure of views.”
3D generic object categorization, localization and pose estimation (2007, background): “The theory behind aspect graphs (AG) [ 14 , 2, 4] has also offered a powerful and compact representation for 3D objects.”
A multi-view probabilistic model for 3D object classes (2009, background): “exist for representations based on aspect graphs [ 12 ].”
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition (2004, background): “The underlying theory was introduced by Koenderink and van Doorn (1976, 1979) , who observed that while for most views a small change in the vantage point of an object results in a small change in the shape of the projection of that object, for certain views the change in projected object shape is ”
Color indexing (1991, background): “Because histograms change slowly with view, a three-dimensional object can be adequately represented by a small number of histograms, corresponding to a set of canonical views (Koenderink & van Doorn 1976; Feldman 1985).”
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model (2012, background): “Topologically different visibility patterns define different aspects [15] of the object.”