Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
This paper presents geometric invariants of points and their applications under central catadioptric camera model. Although the image has severe distortions under the model, we es...
In an immersive tele-presence environment a 3D remote real scene is projected from the viewpoint of the local user. This 3D world is acquired through stereo reconstruction at the ...
Jane Mulligan, Volkan Isler, Konstantinos Daniilid...
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...