Pattern recognition with local invariant features - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2005

Pattern recognition with local invariant features


Local invariant features have shown to be very successful for recognition. They are robust to occlusion and clutter, distinctive as well as invariant to image transformations. In this chapter recent progress on local invariant features is summarized. It is explained how to extract scale and affine-invariant regions and how to obtain discriminant descriptors for these regions. It is then demonstrated that combining local features with pattern classification techniques allows for texture and category-level object recognition in the presence of varying viewpoints and background clutter.
No file

Dates and versions

inria-00548523 , version 1 (20-12-2010)


  • HAL Id : inria-00548523 , version 1


Cordelia Schmid, Gyuri Dorkó, Svetlana Lazebnik, Krystian Mikolajczyk, Jean Ponce. Pattern recognition with local invariant features. C.H. Chen and P.S.P Wang. Handbook of Pattern Recognition and Computer Vision, World Scientific, pp.71-92, 2005, 978-981-256-105-3. ⟨inria-00548523⟩
93 View
0 Download


Gmail Facebook Twitter LinkedIn More