Graph Based Texture Pattern Classification

Iyyakutti Iyappan Ganapathi, Sajid Javed, Robert B Fisher, Naoufel Werghi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Textures in 3D meshes represent intrinsic surface properties and are essential for various applications, including retrieval, segmentation, and classification. However, it is distinct from other types of 3D object analysis. The primary objective is to capture the surface variations induced by multiple textures. While numerous classical approaches are published in the literature, only a few work directly on 3D meshes. Given the versatility of graph representations, we propose a graph learning-based approach for classifying the texture of each facet in a 3D mesh. First, a three-dimensional mesh is transformed into a graph structure in which every node is a facet of a given mesh. Further, each facet is described by a feature vector computed utilizing the neighboring facets within a radius and their geometric properties. The graph structure is then fed into a graph neural network, classifying each node as a texture or non-textured class. The proposed technique has been validated using texture patterns from SHREC'18 and demonstrated positive performance.
Original languageEnglish
Title of host publication2022 8th International Conference on Virtual Reality (ICVR)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
ISBN (Electronic)978-1-6654-7911-0, 978-1-6654-7910-3
ISBN (Print)978-1-6654-7912-7
Publication statusPublished - 18 Aug 2022
EventThe 8th International Conference on Virtual Reality, 2022 - Nanjing, China
Duration: 26 May 202228 May 2022
Conference number: 8

Publication series

Name2022 8th International Conference on Virtual Reality (ICVR)
ISSN (Print)2331-9542
ISSN (Electronic)2331-9569


ConferenceThe 8th International Conference on Virtual Reality, 2022
Abbreviated titleICVR 2022

Keywords / Materials (for Non-textual outputs)

  • Relief pattern
  • 3D texture
  • Feature descriptor
  • Classification


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