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Displaying records 11 to 20 of 30 records.
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11. Evaluation of 3D Interest Point Detection Techniques via Human-generated Ground Truth
Topic: Data Mining
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 ...

12. Facial Shape Analysis and Sizing System
Topic: Data Mining
Published: 7/24/2009
Author: Afzal A Godil
Abstract: The understanding of shape and size of the human head and faces is vital for design of facial wear products, such as respirators, helmets, eyeglasses and for ergonomic studies. 3D scanning is used to create 3D databases of thousands of humans from ...

13. Feature Measures for the Segmentation of Neuronal Membrane using Machine Learning Algorithm
Topic: Data Mining
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 ...

14. Feature-preserved 3D Canonical Form
Topic: Data Mining
Published: 7/28/2012
Authors: Afzal A Godil, Zhouhui Lian
Abstract: Abstract Measuring the dissimilarity between non-rigid objects is a challenging problem in 3D shape retrieval. One potential solution is to construct the models‰ 3D canonical forms (i.e., isometry-invariant representations in 3D Euclidean domain) on ...

15. Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval
Topic: Data Mining
Published: 7/26/2013
Author: Afzal A Godil
Abstract: Non-rigid and partial 3D model retrieval are two significant and challenging research directions in the field of 3D model retrieval. Little work has been done in proposing a hybrid shape descriptor that works for both retrieval scenarios, let alone ...

16. Investigating the Bag-of-Words Method for 3D Shape Retrieval
Topic: Data Mining
Published: 6/30/2010
Authors: Afzal A Godil, Xiaolan Li
Abstract: This paper investigates the capabilities of the Bag-of-Words (BW) method in the 3D shape retrieval field. The contributions of this paper are: 1) the 3D shape retrieval task is categorized from different points of view: specific vs. generic, part ...

17. Kinetics of the reactions of H and CH3 radicals and n-butane: An experimental design study using reaction network analysis
Topic: Data Mining
Published: 6/17/2014
Authors: David A Sheen, Jeffrey A Manion
Abstract: The oxidation of hydrocarbon fuels proceeds through the attack of small radicals such as H and CH3 on large molecules. These radicals abstract H atoms from the large molecules, which then usually proceed by β-scission to form C2H4 and C3H6. ...

Topic: Data Mining
Published: 12/20/2010
Authors: Zhouhui Lian, Afzal A Godil
Abstract: Matching non-rigid shapes is a challenging research field in content-based 3D object retrieval. In this paper, we present an image-based method to effectively address this problem. Multidimensional Scaling (MDS) and Principal Component Analysis ( ...

19. Overview of the TREC-2010 Blog Track
Topic: Data Mining
Published: 8/15/2012
Authors: Ian M Soboroff, Iadh Ounis, Craig Macdonald
Abstract: The Blog track aims to investigate the information seeking behavior in the blogosphere. The track was initiated in 2006, and has used an incremental approach in tackling several search tasks by their level of difficulty. In TREC 2010, the track has i ...

20. SHREC 09 Track: Structural Shape Retrieval on Watertight Models
Topic: Data Mining
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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