Exemplar-based hole-filling technique for multiple dynamic objects

Matteo Pagliardini, Yasuhiro Akagi, Marcos Slomp, Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki

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


Entire shape reconstruction of dynamic objects is an important research subject with applications on film production, virtual reality, modeling and engineering. Typically, entire shape reconstruction of real objects is achieved by combining the outcome of objects scanned from multiple directions. However, due to limitations on the number of 3D sensors enclosing the scene, occlusions inevitably occur, causing holes to appear on the reconstructed surfaces. These issues are intensified if dynamic, moving objects are considered. Volumetric and polygonal approaches exist to address these problems. Most notably, exemplar-based polygonal methods have gained momentum due to their overall improved visual quality. In this paper we propose an extension to the plain exemplar-based technique that allows for multiple dynamic objects. With our method, adequate hole-filling candidates are sampled from spatial and temporal domains and then used to synthesize likely plausible surfaces with smooth boundaries for the hole regions.

Original languageEnglish
Title of host publicationImage and Video Technology - 6th Pacific-Rim Symposium, PSIVT 2013, Revised Selected Papers
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783642538414
Publication statusPublished - 2014
Externally publishedYes
Event6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013 - Guanajuato, Mexico
Duration: Oct 28 2013Nov 1 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8333 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2013

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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