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ICASSP
2011
IEEE
14 years 1 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
CVPR
2009
IEEE
16 years 5 months ago
Fast concurrent object localization and recognition
Object localization and classification are important problems in computer vision. However, in many applications, exhaustive search over all class labels and image locations is co...
Tom Yeh, John J. Lee, Trevor Darrell
CVPR
1998
IEEE
15 years 12 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
ICCV
2007
IEEE
15 years 12 months ago
High Dynamic Range Camera using Reflective Liquid Crystal
High Dynamic Range Images (HDRIs) are needed for capturing scenes that include drastic lighting changes. This paper presents a method to improve the dynamic range of a camera by u...
Hidetoshi Mannami, Ryusuke Sagawa, Yasuhiro Mukaig...
ICCV
2003
IEEE
15 years 12 months ago
Joint Region Tracking with Switching Hypothesized Measurements
This paper proposes a switching hypothesized measurements (SHM) model supporting multimodal probability distributions and presents the application of the model in handling potenti...
Kia-Fock Loe, Tele Tan, Yang Wang 0002