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The Pennsylvania State University CiteSeerX Archives (79)
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Hits 1 – 20 of 79
1
ImageSpirit: Verbal guided image parsing
Ming-ming Cheng
;
Shuai Zheng
;
Wen-yan Lin
...
In: http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/image_spirit/paper_docs/imageSpirit_tog_14.pdf (2014)
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2
Q.: Scale based region growing for scene text detection
Junhua Mao
;
Houqiang Li
;
Wengang Zhou
...
In: http://www.stat.ucla.edu/%7Ejunhua.mao/papers/Scale_based_region_growing_ACM_MM13.pdf (2013)
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3
Dynamic Units of Visual Speech
Sarah L. Taylor
;
Moshe Mahler
;
Barry-john Theobald
...
In: http://www.iainm.com/iainm/visemes_files/sca2012_1.pdf (2012)
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4
A combined algorithm for layout analysis of arabic . . .
Abdulrahman Alshameri
;
Sherif Abdou
;
Khaled Mostafa
In: http://research.ijcaonline.org/volume49/number23/pxc3881282.pdf (2012)
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5
Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes
Borja Navarro-colorado
;
Marcel Puchol-blasco
;
Rafael M. Terol
...
In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009)
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6
Continuous Arabic Sign Language Recognition in User Dependent Mode
K. Assaleh
;
T. Shanableh
;
M. Fanaswala
. - 2009
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7
Notes on a Linguistic Description as The Basis for Automatic Image Understanding
Ryszard Tadeusiewicz
;
Marek R. Ogiela
;
Piotr S. Szczepaniak
In: http://matwbn.icm.edu.pl/ksiazki/amc/amc19/amc19113.pdf (2009)
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8
Automatic Facial Expression Recognition on A Single 3D Face by Exploring Shape Deformation
Boqing Gong
;
Yueming Wang
In: http://mmlab.ie.cuhk.edu.hk/archive/2009/Gong_Face_ACM_MM.pdf (2009)
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9
Automatic facial expression recognition on a single 3d face by exploring shape deformation
Boqing Gong
;
Yueming Wang
In: http://www-scf.usc.edu/%7Eboqinggo/Paper/Gong_Face_ACM_MM_small.pdf (2009)
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10
Original Article Natural-pose hand detection in low-resolution images
Nyan Bo Bo
;
Matthew N. Dailey
;
Bunyarit Uyyanonvara
In: http://www.rdoapp.psu.ac.th/html/sjst/journal/31-2/0125-3395-31-2-157-165.pdf (2008)
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11
Automatic recognition of Auslan finger-spelling using hidden Markov models. Undergraduate thesis
Paul Goh
In: http://undergraduate.csse.uwa.edu.au/year4/Current/Students/Files/2005/PaulGoh/CorrectedDissertation.pdf (2005)
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12
Using image processing projects to teach cs1 topics
Richard Wicentowski
;
Tia Newhall
In: http://www.cs.swarthmore.edu/~newhall/sigcse05.pdf (2005)
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13
Adaptive Hindi OCR using generalized Hausdorff Image comparison
Huanfeng Ma
;
David Doermann
In: http://www.tjhsst.edu/~rlatimer/papers/acmresearch/p193-maAdaptiveHindiOCR.pdf (2003)
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14
Spatial Representations Activated During Real-time Comprehension of Verbs
Daniel C. Richardson
;
Michael J. Spivey
In: http://userwww.service.emory.edu/~barsalou/Papers/Verb_Rep_Files/RichardsonSpiveyBarsalouMcRae2003.pdf (2003)
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15
Adaptive Hindi OCR Using Generalized Hausdorff Image Comparison
Huanfeng Ma
;
David Doermann
In: http://www.cs.umd.edu/Library/TRs/CS-TR-4519/CS-TR-4519.pdf (2003)
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16
Adaptive Hindi Ocr Using Generalized Hausdorff Image Comparison
Huanfeng Ma
;
David Doermann
In: http://www.umiacs.umd.edu/lamp/pubs/TechReports/LAMP_105/LAMP_105.pdf (2003)
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17
A Light-Weight Text Image
Processing Method For
;
Maurizio Pilu
;
Stephen Pollard
...
In: http://www.hpl.hp.com/personal/mp/research/text/HPL-2002-82.pdf (2002)
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18
Evaluation of Image Pre-Processing Techniques for Eigenface Based Face Recognition
Thomas Heseltine
;
Nick Pears
;
Jim Austin
In: http://www-users.cs.york.ac.uk/~tomh/EvalOfPreprocessingForEigenfaceFaceRecognition.pdf (2002)
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19
Finding Relevant Image Content for mobile Sign Language Recognition
Suat Akyol
;
Pablo Alvarado
In: http://www.akyol.de/mediapool/82/829906/data/V001_2001.pdf (2001)
Abstract:
We are currently developing a vision-based sign language recognition system for mobile use. This requires operability in different environments with a large range of possible users, ideally under arbitrary conditions. In this paper, the problem of finding relevant information in single-view image sequences is tackled. We discuss some issues in low level image cues and present an approach for the fast detection of a signing persons hands. This is achieved by using a modified generic skin color model combined with pixel level motion information, which is obtained from motion history images. The approach is demonstrated with a watershed segmentation algorithm.
Keyword:
KEY WORDS Image Processing
;
Low-level Image cues
;
Segmentation
;
Sign Language Recognition
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.8227
http://www.akyol.de/mediapool/82/829906/data/V001_2001.pdf
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20
The Ordered Queue And The Optimality Of The Watershed Approaches
Roberto Lotufo
;
Alexandre Falcao
In: http://www.dca.fee.unicamp.br/~lotufo/tmp/36.ps.gz (2000)
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