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Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig

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CHAPTER 4

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Local Feature Design Concepts, Classification, and Learning

“Science, my boy, is made up of mistakes, but they are mistakes which it is useful to make, because they lead little by little to the truth.”

— Jules Verne, Journey to The Center of The Earth

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 ...

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