Titlebook: Computer Vision - ECCV ‘96; Fourth European Conf Bernard Buxton,Roberto Cipolla Conference proceedings 1996 Springer-Verlag Berlin Heidelbe

發(fā)起

松雞

豐滿中國(guó)

Automatic extraction of generic house roofs from high resolution aerial imagery,c attributes and 3-D information, we can deal with complex houses. Neither do we assume the roofs to be flat or rectilinear nor do we require parameterized building models. From only one image, 2-D edges and their corresponding attributes and relations are extracted. Using a segment stereo matching

極為憤怒

Three dimensional object modeling via minimal surfaces,ards the objects to be detected. We show that this model is equivalent to the computation of surfaces of minimal area, better known as ‘minimal surfaces,’ in a Riemannian space. This space is defined by a metric induced from the 3. image (volumetric data) in which the objects are to be detected. The

Shuttle

Baffle

榨取

Shape from appearance: A statistical approach to surface shape estimation,shape is used. Significantly, the estimated model is more accurate than the algorithm that generates the examples. The method presented here is a generalization of shape from shading methods that does not rely upon idealized models of the image formation process. As a relative of shape from shading,

MURAL

Volumic segmentation using hierarchical representation and triangulated surface,riangulated surface, which can as well modify its geometry as its topology, segments images into their components by altering its shape according to internal and external constraints. In order to speed up the whole process, the surface performs a coarse-to-fine approach by evolving in a specifically

neurologist

drusen