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» Bayesian structure from motion using inertial information
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ICIP
2010
IEEE
14 years 7 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
AIPR
2008
IEEE
14 years 11 months ago
Full body tracking using an agent-based architecture
We present an agent-based full body tracking and 3D animation system to generate motion data using stereo calibrated cameras. The novelty of our approach is that agents are bound t...
Bing Fang, Liguang Xie, Pak-Kiu Chung, Yong Cao, F...
BMVC
2010
14 years 7 months ago
Live Feature Clustering in Video Using Appearance and 3D Geometry
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
Adrien Angeli, Andrew Davison
CVIU
2004
122views more  CVIU 2004»
14 years 9 months ago
Depth distortion under calibration uncertainty
There have been relatively little works to shed light on the effects of errors in the intrinsic parameters on motion estimation and scene reconstruction. Given that the estimation...
Loong Fah Cheong, Chin-Hwee Peh
EMMCVPR
2011
Springer
13 years 9 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen