Titlebook: Scale-Space Theory in Computer Vision; First International Bart Haar Romeny,Luc Florack,Max Viergever Conference proceedings 1997 Springer

上坡

From high energy physics to low level vision, The image is thereby a 2D surface in 3D space for gray level images, and a 2D surface in 5D for color images. The new formulation unifies many classical schemes and algorithms via a simple scaling of the intensity contrast, and results in new and efficient schemes. Extensions to multi dimensional s

抛媚眼

恃强凌弱的人

Following feature lines across scale,4D extension that we apply to track lines efficiently on iso-surfaces. We show that it automatically finds the connection order of singularities. As an example, we visualize the development of parabolic and crest lines across scale.

损坏

hypnotic

Image loci are ridges in geometric spaces,hors. We also provide a catalog of useful variations of the basic definition. We then show the generic behavior of the maximal convexity form of ridge and its generic transitions in one parameter families. Finally, we discuss connectors, an extension to such ridges.

ambivalence

Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D el of scale, and linked across the scales to get objects in the whole scale-space. Several measures are associated to them and we show how these measures can be used to establish a hierarchy between these objects in order to characterize functional activations.

未完成

提名的名单

From high energy physics to low level vision,cal schemes and algorithms via a simple scaling of the intensity contrast, and results in new and efficient schemes. Extensions to multi dimensional signals become natural and lead to powerful denoising and scale space algorithms. Here, we demonstrate the proposed framework by applying it to denoise and improve gray level and color images.

千篇一律

破布