Tracking objects in 3D using Stereo Vision | a real-time approach based on color segmentation for use on a mobile robot

Kai Hugo Hustoft Endresen

ISBN 10: 3843353328 / ISBN 13: 9783843353328

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Tracking objects in 3D using Stereo Vision | a real-time approach based on color segmentation for use on a mobile robot | Kai Hugo Hustoft Endresen | Taschenbuch | 112 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843353328 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 107297685

Bibliographic Details

• Title: Tracking objects in 3D using Stereo Vision | a real-time approach based on color segmentation for use on a mobile robot
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843353328
• ISBN 13: 9783843353328
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 185 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Previous work in the area of stereo vision has been mostly restricted to either stationary use, or very slow movement. With the introduction of increasingly faster computing devices, more and more of the things that required considerable processing time before, can now be done in real-time. This book describes a stereo vision system to be used on a mobile robot, originally submitted as a master thesis in computer science. The system is able to determine the positions of cylindrical and spherical objects in a 3D environment in real-time by using images from two cameras. Corresponding regions in the two images are found, which then enables the system to use disparity and triangulation to calculate the relative positions of the objects.

About the Author

Kai Hugo Hustoft Endresen received his M.Sc. in Computer Science from the Norwegian University of Science and Technology (NTNU), where he specialized in computer vision and image processing.