Coupled structure-from-motion and 3D symmetry detection for urban facades

Duygu Ceylan, Niloy J. Mitra, Youyi Zheng, Mark Pauly

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Repeated structures are ubiquitous in urban facades. Such repetitions lead to ambiguity in establishing correspondences across sets of unordered images. A decoupled structure-from-motion reconstruction followed by symmetry detection often produces errors: outputs are either noisy and incomplete, or even worse, appear to be valid but actually have a wrong number of repeated elements.We present an optimization framework for extracting repeated elements in images of urban facades, while simultaneously calibrating the input images and recovering the 3D scene geometry using a graph-based global analysis. We evaluate the robustness of the proposed scheme on a range of challenging examples containing widespread repetitions and nondistinctive features. These image sets are common but cannot be handled well with state-of-the-art methods. We show that the recovered symmetry information along with the 3D geometry enables a range of novel image editing operations that maintain consistency across the images. © 2014 ACM 0730-0301/2014/01-ART3 15.00.
Original languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalACM Transactions on Graphics
Volume33
Issue number1
DOIs
StatePublished - Feb 4 2014

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Coupled structure-from-motion and 3D symmetry detection for urban facades'. Together they form a unique fingerprint.

Cite this