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» An Adaptive Supersampling Method
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ICASSP
2010
IEEE
15 years 5 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 5 months ago
Extracting general-purpose features from LIDAR data
— The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental component of featurebased mapping and SLAM systems. Existing detectors tend to exploit ...
Yangming Li, Edwin B. Olson
SIGPRO
2010
141views more  SIGPRO 2010»
15 years 5 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
BMVC
2010
15 years 4 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
16 years 3 months ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...