3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints

Fredrick Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a novel representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associated with groups of patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true three-dimensional affine and Euclidean models from multiple images and their recognition in a single photograph taken from an arbitrary viewpoint. The proposed approach does not require a separate segmentation stage and is applicable to cluttered scenes. Preliminary modeling and recognition results are presented.

Original languageEnglish (US)
Pages (from-to)II/272-II/275
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2
StatePublished - 2003
Event2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Madison, WI, United States
Duration: Jun 18 2003Jun 20 2003

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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