Abstract
The appearance-based approaches to vision problems have recently received a renewed attention in the vision community due to their ability to deal with combined effects of shape, reflectance properties, pose in the scene, and illumination conditions. Besides, appearancebased representations can be acquired through an automatic learning phase which is not the case with traditional shape representations. The approach has led to a variety of successful applications, e. g., visual positioning and tracking of robot manipulators, visual inspection, and human face recognition.
In this paper we will review the basic methods for appearance-based object recognition. We will also identify the major limitations of the standard approach and present algorithms how these limitations can be alleviated leading to an object recognition system which is applicable in real world situations.
H. B. was supported by a grant from the Austrian National Fonds zur Förderung der wissenschaftlichen Forschung (P13981INF) and the K plus Competence Center ADVANCED COMPUTER VISION. A. L. acknowledges the support from the Ministry of Science and Technology of Republic of Slovenia (Project J2-0414).
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Bischof, H., Leonardis, A. (2000). Recognizing Objects by Their Appearance Using Eigenimages. In: Hlaváč, V., Jeffery, K.G., Wiedermann, J. (eds) SOFSEM 2000: Theory and Practice of Informatics. SOFSEM 2000. Lecture Notes in Computer Science, vol 1963. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44411-4_15
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