Efficient Matching of Pictorial Structures By Pedro Felzenszwalb and Daniel Huttenlocher Presented by John Winn.

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Presentation transcript:

Efficient Matching of Pictorial Structures By Pedro Felzenszwalb and Daniel Huttenlocher Presented by John Winn

A Pictorial Structure Parts Deformable connections Image

In this paper… Connection graph must be a tree. Part locations discretised x×y×s×θ = 50×50×10×20 Deformation functions must have form Appearance model has form Parts are rectangles l = ( x,y,s,θ). Uses template matching

Results (in colour)

Extensions in “Pictorial Structures for Object Recognition” 2003 Object model parameters and structure are learned using ML Posterior samples are found (not MAP). Gaussian filter appearance model used for faces Selects ‘optimal’ posterior sample using background subtraction.

Results