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You searched on: Topic Area: Imaging Sorted by: date

Displaying records 11 to 20 of 55 records.
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11. Validated Open Source Nanofiber Diameter Measurement Tool
Topic: Imaging
Published: 4/30/2015
Authors: Nathan Alexander Hotaling, Kapil Bharti, Haydn Kriel, Carl George Simon Jr.
Abstract: Despite the growing use of nanofiber scaffolds for tissue engineering applications, there is not a validated, readily available (commercial or open source) solution for rapid, automated analysis of nanofiber diameter from scanning electron microscope ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=917542

12. A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Topic: Imaging
Published: 3/27/2015
Author: Afzal A Godil
Abstract: Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest (SHREC) tracks on large scale comprehensive and sketch-based 3D model retrieva ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=917883

13. Background Intensity Correction for Terabyte-Sized Time-Lapse Images
Topic: Imaging
Published: 12/30/2014
Authors: Joe Chalfoun, Michael P Majurski, Kiran Bhadriraju, Steven P Lund, Peter Bajcsy, Mary C Brady
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915208

14. SHREC 2014 track on automatic location of landmarks used in manual anthropometry
Topic: Imaging
Published: 6/12/2014
Authors: Afzal A Godil, Chunyuan Li
Abstract: In this paper we report the results of the SHREC 2014 track on automatic location of landmarks used in manual anthropometry. The track has been organized to test the ability of modern computational geometry/pattern recognition techniques to locate ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915679

15. SHREC‰14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval
Topic: Imaging
Published: 6/12/2014
Authors: Afzal A Godil, Chunyuan Li
Abstract: Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content- based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algori ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915677

16. SHREC‰14 Track: Large Scale Comprehensive 3D Shape Retrieval
Topic: Imaging
Published: 6/12/2014
Authors: Afzal A Godil, Chunyuan Li
Abstract: The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale com- prehensive 3D shape database which contains different types of models, such as generic, articulated, CAD and architecture models. The t ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915676

17. SHREC‰14 Track: Retrieval and classification on Textured 3D Models
Topic: Imaging
Published: 6/12/2014
Author: Afzal A Godil
Abstract: This contribution reports the results of the SHREC 2014 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915675

18. SHREC‰14 Track: Shape Retrieval of Non-Rigid 3D Human Models
Topic: Imaging
Published: 6/12/2014
Authors: Afzal A Godil, Chunyuan Li
Abstract: We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D model ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915674

19. Calibrating multiple microscopes with a smartphone
Topic: Imaging
Published: 4/1/2014
Authors: Peter Bajcsy, Mary C Brady, Jacob Siegel
Abstract: Summary: The iPhone liquid crystal displays allows efficient and accurate calibration of an inexpensive array of handheld microscopes for measuring microscopic dynamic events over a large field of view. How does one build an inexpensive array of ha ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914722

20. Feature Measures for the Segmentation of Neuronal Membrane using Machine Learning Algorithm
Topic: Imaging
Published: 1/6/2014
Authors: Afzal A Godil, Saadia S. Iftikhar
Abstract: In this paper, we present a Support Vector Machine (SVM) based pixel classifier for a semi-automated segmentation algorithm to detect neuronal membrane structures in stacks of electron microscopy images of brain tissue samples. This algorithm uses ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914363



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