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Adapting hierarchical ALS algorithms for temporal psychovisual modulation
Zhongpai Gao1; Guangtao Zhai1; Xiao Gu1; Jiantao Zhou2
2015-07-30
Conference NameIEEE International Symposium on Circuits and Systems (ISCAS)
Source PublicationProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
Pages2756-2759
Conference Date24-27 May 2015
Conference PlaceLisbon, Portugal
Abstract

Temporal psychovisual modulation (TPVM) is a new information display technology, which aims to generate multiple visual percepts for different viewers on a single display simultaneously. In TPVM system, the viewers with different active liquid crystal (LC) glasses (i.e., different modulation weights) which are synchronized with the display can see different images (called personal views). TPVM can be implemented by nonnegative matrix factorization (NMF) with three additional constrains: 1) the values of images and modulation weights should have upper bound; 2) a special view (called shared view) without using viewing devices should be considered (i.e., the sum of all basis images should be a meaningful image); 3) the sparsity of modulation weights should be considered because of the material property of LC. In this paper, we solve the constrained NMF problem by the modified hierarchical alternating least squares (HALS) algorithms. Through experiments, we analyse the influence of different parameters of TPVM to provide a guideline for parameter selection. This paper will provide an algorithmic guidance for the applications of TPVM.

DOI10.1109/ISCAS.2015.7169257
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000371471003010
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliation1.Institute of Image Communication and Information Processing Shanghai Jiao Tong University, Shanghai, China
2.Faculty of Science and Technology University of Macau, Macau, China
Recommended Citation
GB/T 7714
Zhongpai Gao,Guangtao Zhai,Xiao Gu,et al. Adapting hierarchical ALS algorithms for temporal psychovisual modulation[C],2015:2756-2759.
APA Zhongpai Gao,Guangtao Zhai,Xiao Gu,&Jiantao Zhou.(2015).Adapting hierarchical ALS algorithms for temporal psychovisual modulation.Proceedings - IEEE International Symposium on Circuits and Systems,2015-July,2756-2759.
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