Local Feature Design Concepts, Classification, and Learning

In this chapter we examine several concepts related to local feature descriptor design— namely local patterns, shapes, spectra, distance functions, classification, matching, and object recognition. The main focus is local feature metrics, as shown in Figure 4-1. This discussion follows the general vision taxonomy that will be presented in Chapter 5, and includes key fundamentals for understanding interest point detectors and feature descriptors, as will be surveyed in Chapter 6, including selected concepts common to both detector and descriptor methods. Note that the opportunity always exists to modify as well as mix and match detectors and descriptors to achieve the best results.