A Reflective Symmetry Descriptor

By M. Kazhdan, Bernard Chazelle, David P. Dobkin, Adam Finkelstein, Thomas A. Funkhouser. 2002

140 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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Citations in the corpus

Learning to Reconstruct Shapes from Unseen Classes (2018, methodology): “Spherical projections have been shown effective in 3D shape retrieval [Esteves et al., 2018], classification [Cao et al., 2017], and finding possible rotational as well as reflective symmetries [Kazhdan et al., 2004, 2002].”
Sketch-based 3D shape retrieval using Convolutional Neural Networks (2015, methodology): “Features Global shape descriptors, such as statistics of shapes [21] and distance functions [15], have been used for 3D shape retrieval [25].”
The Columbia grasp database (2009, methodology): “We believe that the shape matching approach would benefit from using an alignment method more powerful than global PCA, which is known to be suboptimal for aligning 3D models [9].”
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, unknown): “This approach, although leading to a perfect fit in principle, is hampered by the fact that the number of adjustable parameters can be very large, and that little previous knowledge about them is available.”
Near-regular texture analysis and manipulation (2004, background): “Though there may be many potential regular lattices that a near-regular lattice L can deform to, there is a well-de(cid:2)ned regular lattice L r that has a minimum distance from L [Kazhdan et al. 2002; Liu et al. 2004a].”