| 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.
|
Additional Information
|
Citation:
Fredrick Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce,
"3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints,"
cvpr,
p. 272,
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 2,
2003
|