Shape Google: a computer vision approach to isometry invariant shape retrieval

Maks Ovsjanikov, Alexander M. Bronstein, Michael M. Bronstein, Leonidas Guibas · 2009

Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications such as object recognition and image retrieval. In this paper, we explore analogous approaches in the 3D world applied to the problem of non-rigid shape search and retrieval in large databases.

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