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Displaying records 31 to 40 of 113 records.
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31. Depicting Web Images for the Blind and Visually Impaired
Topic: Imaging
Published: 12/9/2013
Authors: Andrea Bajcsy, YaShian Li-Baboud, Mary C Brady
Abstract: A prototype to translate web graph and map images into 3D printed models in order to give the blind and visually impaired access to voting and election information.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914629

32. Developing an Informatics and Database Infrastructure for Proficiency Testing of Quantitative Imaging Algorithms
Topic: Imaging
Published: 9/23/2011
Author: Alden A Dima
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=909535

33. Dictionary Learning from Ambiguously Labeled Data
Topic: Imaging
Published: 4/9/2013
Authors: P Jonathon Phillips, Yi-Chen Chen, Vishal M Patel, Jaishanker K Pillai, Rama Chellappa
Abstract: We propose a novel dictionary-based learning method for ambiguously labeled multiclass classification, where each training sample has multiple labels and only one of them is the correct label. The dictionary learning problem is solved using an iterat ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=913138

34. EXPLORING THE BAG-OF-WORDS METHOD FOR 3D SHAPE RETRIEVAL
Topic: Imaging
Published: 11/10/2009
Authors: Afzal A Godil, Xiaolan Li
Abstract: EXPLORING THE BAG-OF-WORDS METHOD FOR 3D SHAPE RETRIEVAL
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903557

35. Effects of Decomposition Levels and Quality Layers with JPEG 2000 Compression of 1000 ppi Fingerprint Images
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7939
Topic: Imaging
Published: 8/27/2013
Authors: John M Libert, Shahram Orandi, Michael D Garris, John D. Grantham
Abstract: As part of NIST‰s investigative efforts to support development of the FBI Next Generation Identification (NGI) systems, this investigation evaluates effects on image fidelity of wavelet transform decomposition and quality layer options for JPEG 2 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914123

36. Efficient Motion Vector Interpolation for Error Concealment of H.264/AVC
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7733
Topic: Imaging
Published: 3/1/2011
Author: Hamid Gharavi
Abstract: In video communications the compressed video stream is very likely to be corrupted by channel errors. In order to combat these channel errors, many methods have been proposed. In this paper, a new method for motion vectors (MVs) interpolation with th ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=907185

37. Evaluating Form Designs for Optical Character Recognition
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 5364
Topic: Imaging
Published: 2/1/1994
Author: Michael D Garris
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=900706

38. Evaluation of 3D Interest Point Detection Techniques
Topic: Imaging
Published: 4/7/2011
Authors: Helin Dutagaci, Chun Pan (Benny) Cheung, Afzal A Godil
Abstract: In this paper, we compare the results of five 3D interest point detection techniques to the interest points marked by human subjects. This comparison is used to quantitatively evaluate the interest point detection algorithms. We asked human subjects ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908053

39. Evaluation of 3D Interest Point Detection Techniques via Human-generated Ground Truth
Topic: Imaging
Published: 6/29/2012
Authors: Afzal A Godil, Helin Dutagaci
Abstract: In this paper, we present an evaluation strategy based on human-generated ground truth to measure the performance of 3D interest point detection techniques. We provide quantitative evaluation measures that relate automatically detected interest point ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911521

40. Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification
Topic: Imaging
Published: 11/5/2013
Authors: Afzal A Godil, Asim Wagan
Abstract: With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features a ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914571



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