Pictorial Structures for Object Recognition

Marius Leordeanu 26 Jan

The paper I will present is an IJCV January 2005 paper by Pedro F. Felzenszalb and Daniel Huttenlocher called:
Pictorial Structures for Object Recognition

They present a computationally efficient framework for part-based modeling and recognition of objects, where objects are represented as a collection of parts arranged in a deformable configuration. Their work is motivated by the pictorial structure models introduced by Fischler and Elschlager.