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Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by
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For this project, the shadow removal method used by Finlayson et al. in [1] was implemented.
This report contains an overview of the mathematical background and a detailed
discussion on the experiments performed with the implementation.
This me
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SIFT (Scale-invariant feature transform) est un algorithme de vision assistée par ordinateur permettant de détecter et
décrire des zones d intérêts dans une image. Cet algorithme a été publié par David Lowe en 1999, et le propriétaire du
brevet e
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This paper focuses on the detection of objects with a Lambertian surface under varying
illumination and pose. modeling
the different illuminations from a small number of images in a training set this automaticallyvoids the illumination effects, a
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This an OPENCV based project. Here we are implementing the algorithm that uses adaptive
methods to segment the image to identify objects.
The objects are then used to form candidate markers which are examined for several criteria.
Potential m
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In this paper,we address the effect of illumination on the face detection and the face recognition problem by introducing a novel illumination invariant method, called OptiFuzz. It is an optimized fuzzy-based illumination invariant method to solve th
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