Methods for Processing and Understanding Image Sequences in Autonomous Navigation Problems

被引：0
|
作者：
Fursov, V. A. [1 ,2 ]
Goshin, E. V. [1 ,2 ]
Minaev, E. Yu. [1 ,2 ]
Zherdev, D. A. [1 ,2 ]
Kotov, A. P. [1 ,2 ]
机构：
[1] Russian Acad Sci, Fed Sci Res Ctr Crystallog & Photon, Image Proc Syst Inst Branch, Samara 443001, Russia
[2] Samara Univ, Samara 443080, Russia
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS | 2023年 / 33卷 / 04期
基金：
俄罗斯基础研究基金会;
关键词：
digital image processing; localization and recognition; image matching; 3D models; fractal compression; super resolution; visual odometry;
D O I：
10.1134/S1054661823040156
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This article presents the results of research into methods and algorithms for processing image sequences aimed at application in autonomous navigation systems. The methods are grouped in the following areas: pre-processing, generation of 2D and 3D scene models, object recognition. and determination of motion parameters from a sequence of images. The article presents methods and algorithms proposed and researched by the authors of the article over the past decade. Description of the methods and algorithms is accompanied by examples and results of experimental studies.
引用
收藏
页码：1104 / 1128
页数：25
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