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  4. Hand Pose Recognition — Overview and Current Research
 
Zitierlink DOI
10.26092/elib/2361
Verlagslink DOI
10.1007/978-3-319-17043-5_7

Hand Pose Recognition — Overview and Current Research

Veröffentlichungsdatum
2015
Autoren
Mohr, Daniel  
Zachmann, Gabriel  
Zusammenfassung
Vision-based markerless hand tracking has many applications, for instance in virtual prototyping, navigation in virtual environments, tele- and robot-surgery and video games. It is a very challenging task, due to the real-time requirements, 26 degrees-of-freedom, high appearance variability, and frequent self-occlusions. Because of that, and because of the many desirable applications, it has received increasing attention in the computer vision community of the past years. A lot of approaches have been proposed to (partially) solve the problem, but no system has been presented yet that can solve the full-DOF hand pose estimation problem robustly in real-time. The purpose of this article is to present an overview of the approaches that have been presented so far and where future research of hand tracking probably will go. First, we will explain the challenges in more detail. Second, we will classify the approaches; third, we will describe the most important approaches, and finally we will show the future directions and give a short overview of our current work.
Schlagwörter
hand tracking

; 

overview

; 

Applications

; 

virtual prototyping

; 

navigation

; 

robot-surgery

; 

video games
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Artikel/Aufsatz
Zeitschrift/Sammelwerk
Virtual Realities  
Startseite
108
Endseite
129
Zweitveröffentlichung
Ja
Dokumentversion
Postprint
Lizenz
Alle Rechte vorbehalten
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

Mohr-Zachmann_Hand-pose-recognition_2013_bookchapter_PDF-A.pdf

Size

1.18 MB

Format

Adobe PDF

Checksum

(MD5):cc39ddd369b9ae188defc5c08e854ccb

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