ASIFT: An Algorithm for Fully Affine Invariant Comparison
Guoshen Yu, Jean-Michel Morel
→ BibTeX
    title   = {{ASIFT: An Algorithm for Fully Affine Invariant Comparison}},
    author  = {Yu, Guoshen and Morel, Jean-Michel},
    journal = {{Image Processing On Line}},
    volume  = {1},
    year    = {2011},
    doi     = {10.5201/},
% if your bibliography style doesn't support doi fields:
    note    = {\url{}}
Guoshen Yu, and Jean-Michel Morel, ASIFT: An Algorithm for Fully Affine Invariant Comparison, Image Processing On Line, 1 (2011).

Communicated by Guillermo Sapiro
Demo edited by Nicolas Limare


If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras in varying positions undergo smooth apparent deformations. These deformations are locally well approximated by affine transforms of the image plane. In consequence the solid object recognition problem has often been led back to the computation of affine invariant image local features. The similarity invariance (invariance to translation, rotation, and zoom) is dealt with rigorously by the SIFT method The method illustrated and demonstrated in this work, Affine-SIFT (ASIFT), simulates a set of sample views of the initial images, obtainable by varying the two camera axis orientation parameters, namely the latitude and the longitude angles, which are not treated by the SIFT method. Then it applies the SIFT method itself to all images thus generated. Thus, ASIFT covers effectively all six parameters of the affine transform.


Supplementary Materials

Non-Reviewed Supplementary Materials

These files and information are provided by the authors and have not been reviewed.