5.2

MRF-Based Matching

The labeling of a scene in terms of a model object is denoted by where elements in index image features and those in do model object features plus the NULL . It is also interpreted as a relational mapping from to ( cf. (5.5). We assume that f is a realization of an MRF with respect to . Below, we derive its posterior probability using the MAP-MRF approach, in which contextual constraints not only on the prior configuration but also the observation are considered.

• 5.2.1 Posterior Probability and Energy
• 5.2.2 Matching to Multiple Objects
• 5.2.3 Experiments
  • Matching Objects of Point Patterns
  • Matching Objects of Line Patterns
  • Matching Curved Objects under Similarity Transformations
• 5.2.4 Extensions
  • Incorporating Higher Constraints
  • Coupled MRFs for Matching of Different Features
  • Relationships with Low Level MRF Models