Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Nhon H. Trinh"'
Autor:
Mariatti Jaafar, Cao Xuan Viet, N.A. Rasli, Nhon H. Trinh, Ernie Suzana Ali, Syazana Ahmad Zubir, Norazwani Muhammad Zain
Publikováno v:
Materials Today: Proceedings. 17:898-904
The main objective of this study was to investigate the effect of different types and molecular weight (MW) of polyol on the shape memory properties of palm kernel oil–based shape memory polyurethane (SMPU) prepared by two step bulk polymerization
Autor:
Nhon H. Trinh, Benjamin B. Kimia
Publikováno v:
International Journal of Computer Vision. 94:215-240
We describe a top-down object detection and segmentation approach that uses a skeleton-based shape model and that works directly on real images. The approach is based on three components. First, we propose a fragment-based generative model for shape
Autor:
Michelle Bovard, Matthew Gillette, Trishan de Lanerolle, Bozidar Marinkovic, Nhon H. Trinh, Peter Votto, David J. Ahlgren, Kundan Nepal, Amir Tamrakar
Publikováno v:
Journal of Robotic Systems. 21:461-469
Autor:
Benjamin B. Kimia, Nhon H. Trinh
Publikováno v:
CVPR Workshops
We describe a method to compute the prototypical shapes for object categories using the shock graph representation. Given a set of category exemplars, we determine a prototypical shape for this category by estimating the Karcher mean of the shock gra
Publikováno v:
Medical Imaging: Image Processing
We are interested in establishing ground truth data for validating morphology measurements of human knee cartilage from MR imaging. One promising approach is to compare the high-accuracy 3D laser scans of dissected cadaver knees before and after the
Autor:
Benjamin B. Kimia, Nhon H. Trinh
Publikováno v:
BMVC
The success of skeletal model in object recognition from segmented images motivates the development of a skeletal model for top-down object recognition and segmentation. We propose a novel skeleton-based generative shape model which is suitable for e
Autor:
Megan E. Bowers, Braden C. Fleming, Glenn A. Tung, Joseph J. Crisco, Benjamin B. Kimia, Nhon H. Trinh
Publikováno v:
Osteoarthritis and cartilage. 16(10)
Summary Objective To assess the reliability and accuracy of manual and semi-automated segmentation methods for quantifying knee cartilage thickness. This study employed both manual and LiveWire-based semi-automated segmentation methods, ex vivo and i
Autor:
Benjamin B. Kimia, Nhon H. Trinh
Publikováno v:
ICCV
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock graph branches at each point required to generate a valid shape, i.e., w
Publikováno v:
Computer Vision Approaches to Medical Image Analysis ISBN: 9783540462576
CVAMIA
CVAMIA
We describe a method to accurately assess articular cartilage morphology using the three-dimensional laser scanning technology. Traditional methods to obtain ground truth for validating the assessment of cartilage morphology from MR images have relie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a674000ae5e1ad086eb647c521d23f
https://doi.org/10.1007/11889762_4
https://doi.org/10.1007/11889762_4
Autor:
Nhon H. Trinh, Taikang Ning
Publikováno v:
IEEE 30th Annual Northeast Bioengineering Conference, 2004. Proceedings of the.
Hippocampal EEG collected from CA1 and the dentate gyrus during REM sleep were examined using linear cross-spectral and nonlinear cross-bispectral analysis to quantify the correlation between the two sites. Independent component analysis (ICA) was ap