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 article

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)
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2
StatePublished - Sep 1 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

Cite this

3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints. / Rothganger, Fredrick; Lazebnik, Svetlana; Schmid, Cordelia; Ponce, Jean.

In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, 01.09.2003.

Research output: Contribution to journalConference article

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