Visual classification presents many challenges, but in this chapter we will focus on the problem of generalization. This is the ability to learn about a new class of object from some images, and then to recognize instances of that class in very different images. To do this we must somehow account for variations in appearance due to changes in viewpoint, alterations in lighting, variations in the shape of different objects within the same class, and a myriad of other causes.
Y. LamdanJ.T. SchwatrtzHaim J. Wolfson
Juyang WengNarendra AhujaThomas S. Huang
Yonggao YangAkhtar LodgherWei Zhang