Finding geometric and photometric relation among images is crucial in many computer vision tasks such as panoramic imaging, high dynamic range imaging, stereo imaging, and change ...
Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge vo...
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
In this paper, we present and study two local features for the tracking of vascular structures on 3D angiograms. The first one, Flux, measures the inward gradient flux through c...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...