Adapted Active Contours for Catadioptric Images using a Non-euclidean Metrics

被引：0

作者：

Mirhisse, Jamal ^{[1
]}

Nasri, M'Barek ^{[1
]}

EL Allaoui, Ahmad ^{[2
]}

Kachi, Djemaa ^{[3
]}

机构：

[1] Univ Mohammed 1, LABO MATSI, ESTO, Oujda, Morocco

[2] Univ Abelmalek Essaadi, SDIC Team ENSAH, Labo LSA, Al Hoceima, Morocco

[3] Univ Picardie Jules Verne, LABO MIS, Amiens, France

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEMS & SECURITY (NISS19) | 2019年

关键词：

Omnidirectional vision; active contours; free space; Riemannian metric; Catadioptric images; OPTICAL-FLOW;

D O I：

10.1145/3320326.3320352

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper contributes to adapt classical active contour methods in a new framework to handle real time free space extraction in a sequence of omnidirectional images. In order to resolve the classical processing errors related to the difference in the resolution of the omnidirectional images. We propose a solution, based on a model of parametric active contour in Riemannian metric, which is adapted for the catadioptric images. This model of active contour is designed for the extraction of the free space, which will allow establishing a system of autonomous navigation of a mobile robot in real time. The approach adopted here is compared with methods of classic active contours.

引用

页数：6

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[3]

Blake A.Isard., 2012, Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion

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