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ICIP
2010
IEEE
13 years 5 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 5 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
JCC
2008
66views more  JCC 2008»
13 years 7 months ago
Multiple field three dimensional quantitative structure-activity relationship (MF-3D-QSAR)
Abstract: A new drug design method, the multiple field three-dimensional quantitative structure
Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Li-Qin Du, Kuo-...
ECCV
2008
Springer
14 years 9 months ago
Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
This paper shows how computational Riemannian manifold can be used to solve several problems in computer vision and graphics. Indeed, Voronoi segmentations and Delaunay graphs comp...
Sébastien Bougleux, Gabriel Peyré, L...
DFT
2007
IEEE
142views VLSI» more  DFT 2007»
14 years 2 months ago
Quantitative Analysis of In-Field Defects in Image Sensor Arrays
Growth of pixel density and sensor array size increases the likelihood of developing in-field pixel defects. An ongoing study on defect development in imagers has now provided us ...
Jenny Leung, Jozsef Dudas, Glenn H. Chapman, Israe...