Learning Patterns in Images
نویسندگان
چکیده
This chapter concerns problems of learning patterns in images and image sequences, and using the obtained patterns for interpreting new images. The chapter concentrates on three problem areas: (i) semantic interpretation of color images of outdoor scenes, (ii) detection of blasting caps in x-ray images of luggage, and (iii) recognizing actions in video image sequences. It discusses the image formation processes in these problem areas, and the choices of representation spaces used in our approaches to solving these problems. The results presented indicate the advantages of applying machine learning to vision.
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