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Topic Area: Imaging
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Displaying records 61 to 70 of 81 records.
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61.
Perceptual Study of the Impact of Varying Frame Rate on Motion Imagery Interpretability
Topic: Imaging
Published: 3/1/2006
Authors: Charles D. Fenimore, J Irvine, D Cannon, John W. Roberts, A Aviles, S Israel, Michelle Brennan, L Simon, J Miller, Donna Haverkamp, P F Tighe, Michael Gross
Abstract: The development of a motion imagery (MI) quality scale, akin to the National Image Interpretibility Rating Scale (NIIRS) for still imagery, would have great value to designers and users of surveillance and other MI systems. A multi-phase study has ad
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150608
62.
Precision and Accuracy in Scientific Imaging
Series: Journal of Research (NIST JRES)
Topic: Imaging
Published: 5/18/2010
Author: Russell A. Kirsch
Abstract: Digital images are commonly used to represent scientific data. Typically, high resolution images with many square pixels are considered to be necessary under the assumption that the increased
precision of such images yields increased accuracy to t
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905116
63.
SCATTERFIELD MICROSCOPY, REVIEW OF TECHNIQUES THAT PUSH THE FUNDAMENTAL LIMITS OF OPTICAL DEFECT
METROLOGY
Topic: Imaging
Published: 3/25/2013
Authors: Richard M Silver, Bryan M Barnes, Francois Romain Francis Goasmat, Hui Zhou, Martin Yeungjoon Sohn
Abstract: The semiconductor manufacturing industry is now facing serious challenges in achieving defect
detection rates with acceptable throughput and accuracy. With conventional bright-field and dark-
field inspection methods now at their limits, it has b
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=913246
64.
SHREC 09 Track: Structural Shape Retrieval on Watertight Models
Topic: Imaging
Published: 3/29/2009
Authors: Afzal A Godil, Helin Dutagaci, Xiaolan Li, Petros Daras, Ryutarou Ohbuchi, Takahiko Furuya, Masaki Tezuka, Thibault Napoleon
Abstract: The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the structural shape retrieval track focuses on the retrieval of 3d models
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902319
65.
SHREC 10 Track: Generic 3D Warehouse
Topic: Imaging
Published: 5/2/2010
Authors: Vanamali ThiruvadandamPorethi, Afzal A Godil, Helin Dutagaci, Zhouhui Lian, Ryutarou Ohbuchi, Takahiko Furuya
Abstract: In this paper we present the results of the Shape Retrieval Contest 10 (SHREC 10) of Generic 3D Warehouse. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on a large Generic benchmark based on the Goo
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905321
66.
SHREC 2009 - Shape Retrieval Contest of Partial 3D Models
Topic: Imaging
Published: 3/29/2009
Authors: Helin Dutagaci, Afzal A Godil, A. Axenopoulos, P. Daras, T. Furuya, R. Ohbuchi
Abstract: The objective of the SHREC 09 Shape Retrieval Contest of Partial Models is to compare the performances of algorithms that accept a range image as the query and retrieve relevant 3D models from a database. The use of a range scan as the query addresse
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902098
67.
SHREC'09 Track: Generic Shape Retrieval
Topic: Imaging
Published: 3/29/2009
Authors: Afzal A Godil, Helin Dutagaci
Abstract: In this paper we present the results of the SHREC 09- Generic Shape Retrieval Contest. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on the NIST generic shape benchmark. We hope that the NIST shape be
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902097
68.
SHREC'10 Track - Range Scan Retrieval
Topic: Imaging
Published: 5/2/2010
Authors: Helin Dutagaci, Afzal A Godil, Chun Pan (Benny) Cheung
Abstract: The SHREC 10 Shape Retrieval Contest of Range Scans aims at comparing algorithms that match a range scan to complete 3D models in a target database. The queries are range scans of real objects, and the objective is to retrieve complete 3D models that
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905271
69.
SHREC’11 Track: Generic Shape Retrieval
Topic: Imaging
Published: 4/14/2011
Authors: Helin Dutagaci, Afzal A Godil
Abstract: In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC’11) track on generic shape retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate on arbitrary 3D models. Th
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908086
70.
SHREC’12 Track: Generic 3D Shape Retrieval
Topic: Imaging
Published: 5/13/2012
Authors: Bo Li, Afzal A Godil
Abstract: Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model
retrieval. The aim of this track is to measure and compare the performance of generic 3D shape
retrieval methods implemented by different participant
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http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911044