Analytical relationship between the performance of SDF filters and correlation peak constraints

The correlation outputs of synthetic discriminant function (SDF) filters are constrained in response to training images. In this paper, we establish an analytical connection between the constraint values and resulting correlation filter performance. An interesting result from this analysis is that we show that linear phase correlation peak constraints are attractive. Key–Words: Synthetic discrimination function (SDF), correlation filters, image recognition, convex hull.