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What is Illumination-Invariant Object Detection about?

This paper proposes a method to detect objects under varying illumination and pose using an anti-face detection approach. The key steps are: 1) Modeling the illumination effects from a small training set of images to avoid having to create a large set. 2) Representing the set of possible object appearances as a convex cone that can be defined by a small number of basis images. 3) Applying anti-face detection in the illumination subspace defined by the basis images to achieve illumination invariant detection

Author

sandeep0029

Language

EN