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» Application of Level Set Methods in Computer Vision
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IPPS
2007
IEEE
14 years 1 months ago
Enhancing Portability of HPC Applications across High-end Computing Platforms
Fast hardware turnover in supercomputing centers, stimulated by rapid technological progress, results in high heterogeneity among HPC platforms, and necessitates that applications...
Magdalena Slawiñska, Jaroslaw Slawinski, Da...
VLSM
2005
Springer
14 years 1 months ago
A Surface Reconstruction Method for Highly Noisy Point Clouds
In this paper we propose a surface reconstruction method for highly noisy and non-uniform data based on minimal surface model and tensor voting method. To deal with ill-posedness, ...
DanFeng Lu, HongKai Zhao, Ming Jiang 0001, ShuLin ...
TASE
2008
IEEE
13 years 7 months ago
Vision-Based Online Process Control in Manufacturing Applications
Applications such as layered manufacturing, or in general, solid free-form fabrication, pose a major challenge on online process control. For these parts to be functional, it is i...
Yuan Cheng, Mohsen A. Jafari
ICCV
2005
IEEE
14 years 1 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
ASAP
2011
IEEE
233views Hardware» more  ASAP 2011»
12 years 7 months ago
Accelerating vision and navigation applications on a customizable platform
—The domain of vision and navigation often includes applications for feature tracking as well as simultaneous localization and mapping (SLAM). As these problems require computati...
Jason Cong, Beayna Grigorian, Glenn Reinman, Marco...