event

Ph.D. Dissertation Defense - Yuting Hu

Primary tabs

TitleTexture Representation and Analysis in Material Classification and Characterization

Committee:

Dr. Ghassan AlRegib, ECE, Chair , Advisor

Dr. David Anderson, ECE

Dr. Sundaresan Jayaraman, MSE

Dr. Ying Zhang, ECE

Dr. Surya Kalidindi, ME

Abstract:

Objects and scenes in the real world exhibit abundant textural information. Textures observed in the surfaces of natural objects are not only the appearance of various materials, but also contain important visual cues that are perceived by the human vision system. In a similar fashion, when dealing with real-world images, computers need to extract information from the pixels of textures and understand represented patterns. The objective of my research is design discriminative texture descriptors by developing handcrafted and deep learning-based texture representation methods. Texture analysis algorithms involving discriminative texture descriptors promote the development of automated manufacturing systems. We utilize developed texture descriptors to solve three main vision-based tasks, texture/material recognition, motion tracking of textures, and surface characterization.

Status

  • Workflow Status:Published
  • Created By:Daniela Staiculescu
  • Created:05/08/2019
  • Modified By:Daniela Staiculescu
  • Modified:05/08/2019

Categories

Target Audience