We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the regions of the eyes and hair in a facial image, and thus allows us to infer the face location and scale. Our operator is robust to variations in illumination, scale, and face orientation. Invariance to a large family of functions, serving for lighting improvement in images, is proved. An extensive comparison with edgebased methods is delineated.
CITATION STYLE
Tankus, A., Yeshurun, H., & Intrator, N. (1997). Face detection by direct convexity estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1206, pp. 43–50). Springer Verlag. https://doi.org/10.1007/bfb0015978
Mendeley helps you to discover research relevant for your work.