Beyond Landmark Extraction: A Framework for Robust Geometric Feature Construction in Structured Image Classification

Much of the literature on structured image recognition has disproportionately focused on the comparison of classification algorithms. Rather than investigating which classifier performs best, this paper instead asks: what should a classifier know before it ever makes a prediction? In structured visi