Recognition of three-dimensional objects on stereoscopic observation
- 1 аспирант, кафедра телекоммуникации, Ульяновский государственный технический университет
Abstract
Creation of autonomous robots is one of the most promising challenges of modern science. This article discusses the highlights of a prototype software system for autonomous mobile robot that can search for certain classes of objects and determine the distance to these objects.
This article describes the algorithms used in the software package. Briefly describe the principle of segmentation algorithms, stereovision, and pattern recognition algorithm.
The article presents the results of a series of experiments on the recognition of three-dimensional objects using stereoscopic vision.
How to cite
Морозов А.А. Распознавание трехмерных объектов по стереоскопическим наблюдениям // Радиотехника. 2012. № 9. С. 72–75.
References
- Jeschke S.Intelligent Robotics and Applications. Spinger. 2011. 667p.
- Webb J. Beginning Kinect Programming with the Microsoft Kinect SDK. 2012. 324p.
- Hartley R.Multiple view geometry in computer vision: Cambridge university press. 2003 672p.
- Bradski Gary. Learning OpenCV. 2008. 557 p.
- Гонсалес Р. Цифроваяобработкаизображений. М.: Техносфера. 2006. 1072 с.
- Nixon М. Feature Extraction and Image Processing: Elsevier Ltd. 2008. 423 р.
- Laganière R. OpenCV 2 Computer Vision Application Programming Cookbook: Packt Publishing. 2011. 304 p.
- Szeliski R.Computer Vision: Algorithms and Applications: Springer. 2010. 979 р.
- Bay Herbert, Andreas Ess, Tinne Tuytelaars, Luc Van Gool. «SURF: Speeded Up Robust Features», Computer Vision and Image Understanding (CVIU). 2008. № 3. Р. 346-359.
- Nicolas J.J., Guerrero O. A. Pellejero.Computing Homographies from Three Lines or Points in an Image Pair, Image Analysis and Processing, LNCS 3617. 2005. Р. 446 - 453.
