This paper presents a 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.
3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints
2003-01-01
627844 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-view Spatial Constraints
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