title: A Compact Shape Descriptor for Triangular Surface Meshes.
abstract: Three-dimensional shape-based descriptors have been widely used in object recognition and database retrieval. In the current work, we present a novel method called compact Shape-DNA (cShape-DNA) to describe the shape of a triangular surface mesh. While the original Shape-DNA technique provides an effective and isometric-invariant descriptor for surface shapes, the number of eigenvalues used is typically large. To further reduce the space and time consumptions, especially for large-scale database applications, it is of great interest to find a more compact way to describe an arbitrary surface shape. In the present approach, the standard Shape-DNA is first computed from the given mesh and then processed by surface area-based normalization and line subtraction. The proposed cShape-DNA descriptor is composed of some low frequencies of the discrete Fourier transform of the processed Shape-DNA. Several experiments are shown to illustrate the effectiveness and efficiency of the cShape-DNA method on 3D shape analysis, particularly on shape comparison and classification.
authors.affiliation: College of Computer Science and Technology, Jilin University, China.
authors.forename: Zhanheng
authors.initials: Z
authors.lastname: Gao
authors.affiliation: Department of Computer Science, University of Wisconsin at Milwaukee, USA.
authors.forename: Zeyun
authors.initials: Z
authors.lastname: Yu
authors.affiliation: The First Hospital of Jilin University, China.
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Pang