Normal-Based Bas-Relief Modelling via Near-Lighting Photometric Stereo

M. Wei, Z. Song, Y. Nie, J. Wu, Z. Ji, Y. Guo, H. Xie, J. Wang, F. L. Wang

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

We present a near-lighting photometric stereo (NL-PS) system to produce digital bas-reliefs from a physical object (set) directly. Unlike both the 2D image and 3D model-based modelling methods that require complicated interactions and transformations, the technique using NL-PS is easy to use with cost-effective hardware, providing users with a trade-off between abstract and representation when creating bas-reliefs. Our algorithm consists of two steps: normal map acquisition and constrained 3D reconstruction. First, we introduce a lighting model, named the quasi-point lighting model (QPLM), and provide a two-step calibration solution in our NL-PS system to generate a dense normal map. Second, we filter the normal map into a detail layer and a structure layer, and formulate detail- or structure-preserving bas-relief modelling as a constrained surface reconstruction problem of solving a sparse linear system. The main contribution is a WYSIWYG (i.e. what you see is what you get) way of building new solvers that produces multi-style bas-reliefs with their geometric structures and/or details preserved. The performance of our approach is experimentally validated via comparisons with the state-of-the-art methods.

Original languageEnglish
Pages (from-to)204-219
Number of pages16
JournalComputer Graphics Forum
Volume39
Issue number1
DOIs
Publication statusPublished - 1 Feb 2020

Keywords

  • compression algorithms
  • computational geometry
  • curves and surfaces
  • modelling
  • •Computing methodologies → Shape analysis

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