3D shape and texture morphing using 2D projection and reconstruction

Michael Ludwig, Seth Berrier, Michael Tetzlaff, Gary Meyer

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We present an algorithm for morphing shape and view-dependent texture that utilizes an unstructured lumigraph representation to (1) gracefully handle topological changes, (2) create plausible appearance transformations, and (3) provide user control independent from the underlying mesh structure. It works by reducing the otherwise complex problem of a 3D shape and material morph into multiple simpler 2D morphs. The shape morph operates on 2D depth maps and then reconstructs a conventional mesh, making it insensitive to the input geometry quality. Our morphing algorithm robustly handles topology changes and outputs complete meshes and lumigraphs for later use. We show how 2D image morphs can be computed from 3D correspondences, while eliminating ambiguities that might result in the projected 2D morphs.

Original languageEnglish (US)
Pages (from-to)146-156
Number of pages11
JournalComputers and Graphics (Pergamon)
Volume51
DOIs
StatePublished - Jul 10 2015

Keywords

  • 2D image morphing
  • 3D morphing
  • Lumigraphs
  • Surface light fields

Fingerprint Dive into the research topics of '3D shape and texture morphing using 2D projection and reconstruction'. Together they form a unique fingerprint.

Cite this