Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB‐D Camera. (4th June 2021)

• Record Type: Journal Article
• Authors: Kim, Hyomin; Kim, Jungeon; Nam, Hyeonseo; Park, Jaesik; Lee, Seungyong
• Is Part Of: Computer graphics forum. Volume 40:Number 2(2021)
• Page Start: 523
• Page End: 535
• Publication Date: 2021-06-04
• Subjects: CCS Concepts -- Computing methodologies → Texturing; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.142652
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: This paper presents an effective method for generating a spatiotemporal (time‐varying) texture map for a dynamic object using a single RGB‐D camera. The input of our framework is a 3D template model and an RGB‐D image sequence. Since there are invisible areas of the object at a frame in a single‐camera setup, textures of such areas need to be borrowed from other frames. We formulate the problem as an MRF optimization and define cost functions to reconstruct a plausible spatiotemporal texture for a dynamic object. Experimental results demonstrate that our spatiotemporal textures can reproduce the active appearances of captured objects better than approaches using a single texture map.