Holistic 3D reconstruction of urban structures from low-rank textures

Hossein Mobahi, Zihan Zhou, Allen Y. Yang, Yi Ma

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

29 Scopus citations

Abstract

We introduce a new approach to reconstructing accurate camera geometry and 3D models for urban structures in a holistic fashion, i.e., without relying on extraction or matching of traditional local features such as points and edges. Instead, we use semi-global or global features based on transform invariant low-rank textures, which are ubiquitous in urban scenes. Modern high-dimensional optimization techniques enable us to accurately and robustly recover precise and consistent camera calibration and scene geometry from single or multiple images of the scene. We demonstrate how to construct 3D models of large-scale buildings from sequences of multiple large-baseline uncalibrated images that conventional SFM systems do not apply.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Pages593-600
Number of pages8
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 - Barcelona, Spain
Duration: Nov 6 2011Nov 13 2011

Publication series

NameProceedings of the IEEE International Conference on Computer Vision

Conference

Conference2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
CountrySpain
CityBarcelona
Period11/6/1111/13/11

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

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