Titlebook: Computer Vision - ECCV 2002; 7th European Confere Anders Heyden,Gunnar Sparr,Peter Johansen Conference proceedings 2002 Springer-Verlag Ber

Ancillary

Analytical Image Models and Their Applicationsject representations and this enables us to establish relationships between the Bessel parameters and certain characteristics of the imaged objects. We have derived a pseudometric on the image space to quantify image similarities/differences using an analytical expression for ..-metric on the set of

Talkative

Combining Appearance and Topology for Wide Baseline Matchingthe modified algorithm indeed gives superior results to the original one. The method of enforcing the spatial constraints is not limited to the presented case, but can be used on any algorithm where interest point correspondences are sought.

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錯(cuò)

An Affine Invariant Interest Point Detectorerges to affine invariant points. For matching and recognition, the image is characterized by a set of affine invariant points; the affine transformation associated with each point allows the computation of an affine invariant descriptor which is also invariant to affine illumination changes. A quan

Decibel

Lumbar-Stenosis

Resolution Selection Using Generalized Entropies of Multiresolution Histogramsat these resolutions increases the discriminability between images. It is also shown that maximum histogram entropy values can be used to improve optical flow estimates for block based algorithms in image sequences with a changing zoom factor.

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Phase-Based Local Featureson differential invariants. The results show that our phase-based local feature leads to better performance when dealing with common illumination changes and 2-D rotation, while giving comparable effects in terms of scale changes.

aggravate

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