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Most Influential ICCV 1995 Paper · 2026-03 edition

Gradient Flows And Geometric Active Contour Models

S. Kichenassamy; A. Kumar; P. Olver; A. Tannenbaum and A. Yezzi

Venue
International Conference on Computer Vision (ICCV) 1995
Recognition
Most Influential ICCV 1995 Paper (Rank No. 4)
Edition
2026-03
Impact factor
8
Certificate ID
b24fd19649846e12

Abstract

In this paper, we analyze the geometric active contour models discussed previously from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new feature-based Riemannian metrics. This leads to a novel snake paradigm in which the feature of interest may be considered to lie at the bottom of a potential well. Thus the snake is attracted very naturally and efficiently to the desired feature. Moreover, we consider some 3-D active surface models based on these ideas.<>

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