Segmentation-based object categorization: Difference between revisions

Revision as of 10:20, 5 January 2008

Revision as of 20:30, 6 February 2008

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<math>E(m, \Theta) = \sum \phi_x(D|m_x) + \phi_x(m_x|\Theta) + \sum \Psi_{xy}(m_x, m_y) + \phi(D|m_x, m_y)</math> (1)

The term <math>\phi_x(D|m_x) + \phi_x(m_x|\Theta)</math> is called ana unary term, and the term <math>\Psi_{xy}(m_x, m_y) + \phi(D|m_x, m_y)</math> is called a pairwise term.

An unary term consists of the likelihood <math>\phi_x(D|m_x)</math> based on color, and the unary potential <math>\phi_x(m_x|\Theta)</math> based on the distance from <math>\Theta</math>. A pairwise term consists of a prior <math>\Psi_{xy}(m_x, m_y)</math> and a contrast term <math>\phi(D|m_x, m_y)</math>.