What Object Attributes Determine Canonical Views?

By Volker Blanz, Michael J. Tarr, Heinrich H. Bülthoff. 1999

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Citations in the corpus

The limits and potentials of deep learning for robotics (2018, background): “Work in vision science has established that humans possess an internalized canonical view (the visual appearance that is easiest to recognize) for individual object classes [15].”
A planar-reflective symmetry transform for 3D shapes (2006, background): “Finally, Blanz et al. [1999] performed a user study to determine factors that influence the canonical views used to display 3D models.”
Does physical interstimulus variance account for early electrophysiological face sensitive responses in the human brain? Ten lessons on the N170 (2008, background): “www.elsevier.com/locate/ynimg NeuroImage 39 (2008) 1959–1979 Review Does physical interstimulus variance account for early electrophysiological face sensitive responses in the human brain?”
Scene Summarization for Online Image Collections (2007, result): “Subsequent studies provide further support for many of these conclusions, although recent experiments by Blanz et al. [ 6 ] provide conflicting conclusions for the fourth criterion, finding that people tend to imagine objects in plan views, but prefer looking at off-axis views.”
Early lateralization and orientation tuning for face, word, and object processing in the visual cortex (2003, background): “Thus, view canonicality in depth (Blanz et al., 1999; Palmer et al., 1981) may also affect the N170 response.”
What’s in an image? (2005, background): “[7], canonical views are stable, and expose as many salient and significant features as possible.”
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition (2016, methodology): “Hardware support was generously provided by the NVIDIA Corporation.”
Computing iconic summaries of general visual concepts (2008, background): “This problem has been addressed both in psychology [18, 5 ] and computer vision literature [4, 7, 10, 23].”