Which shape representation is the best for real-time hand interface system?
Author
Genç, Serkan
Atalay V.
Date
2009Source Title
Advances in Visual Computing
Print ISSN
0302-9743
Publisher
Springer, Berlin, Heidelberg
Volume
5875 Part I
Pages
1 - 11
Language
English
Type
Conference PaperItem Usage Stats
72
views
views
56
downloads
downloads
Metadata
Show full item recordAbstract
Hand is a very convenient interface for immersive human-computer interaction. Users can give commands to a computer by hand signs (hand postures, hand shapes) or hand movements (hand gestures). Such a hand interface system can be realized by using cameras as input devices, and software for analyzing the images. In this hand interface system, commands are recognized by analyzing the hand shapes and its trajectories in the images. Therefore, success of the recognition of hand shape is vital and depends on the discriminative power of the hand shape representation. There are many shape representation techniques in the literature. However, none of them are working properly for all shapes. While a representation leads to a good result for a set of shapes, it may fail in another one. Therefore, our aim is to find the most appropriate shape representation technique for hand shapes to be used in hand interfaces. Our candidate representations are Fourier Descriptors, Hu Moment Invariant, Shape Descriptors and Orientation Histogram. Based on widely-used hand shapes for an interface, we compared the representations in terms of their discriminative power and speed. © 2009 Springer-Verlag.
Keywords
Hand interfaceHand recognition
Shape representation
Fourier descriptors
Hand gesture
Hand movement
Hand posture
Hand shape
Hu moments
Immersive
Input devices
Interface system
Orientation histograms
Shape descriptors
Shape representation
Human computer interaction
Interactive computer systems
Knowledge management
Interfaces (computer)
Permalink
http://hdl.handle.net/11693/28598Published Version (Please cite this version)
http://dx.doi.org/10.1007/978-3-642-10331-5_1https://doi.org/10.1007/978-3-642-10331-5
Collections
Related items
Showing items related by title, author, creator and subject.
-
Effect of milling time on the structure, micro-hardness, and thermal behavior of amorphous/nanocrystalline TiNiCu shape memory alloys developed by mechanical alloying
Alijani F.; Amini, R.; Ghaffari, M.; Alizadeh, M.; Okyay, A., K. (Elsevier Ltd, 2014)In the present paper, the effect of milling process on the chemical composition, structure, microhardness, and thermal behavior of Ti-41Ni-9Cu compounds developed by mechanical alloying was evaluated. The structural ... -
Effects of surface reflectance on local second order shape estimation in dynamic scenes
Dövencioğlu, D.N.; Wijntjes, M.W.A.; Ben-Shahar O.; Doerschner, K. (Elsevier Ltd, 2015)In dynamic scenes, relative motion between the object, the observer, and/or the environment projects as dynamic visual information onto the retina (optic flow) that facilitates 3D shape perception. When the object is ... -
Quantitative phase evolution during mechano-synthesis of Ti-Ni-Cu shape memory alloys
Amini, R.; Alijani, F.; Ghaffari, M.; Alizadeh, M.; Okyay, A., K. (Elsevier, 2012-05-29)Ti-41Ni-9Cu shape memory alloy was synthesized by mechanical alloying of pure elemental Ti, Ni, and Cu powders using high-energy ball milling. The qualitative and quantitative phase analyses of the as-milled powders were ...