Assessing feature importance for verification and pose refinement

Object recognition can be defined as consisting of two main stages: indexing and verification, Indexing has received much attention in the literature with many schemes developed. However verification has received less attention and is generally used in its simplest form. This paper discusses evaluation techniques for assessing features in the context of verification and pose refinement strategies. Two metrics are considered: a typical Euclidean metric and the Hausdorff metric which is attracting interest in the vision community. These techniques can be used for the design and integration of indexing and verification stages of object recognition