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CVPR
2008
IEEE
16 years 8 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ICCV
2005
IEEE
16 years 9 days ago
Multimodal Human Computer Interaction: A Survey
Abstract. In this paper we review the major approaches to multimodal human computer interaction from a computer vision perspective. In particular, we focus on body, gesture, gaze, ...
Alejandro Jaimes, Nicu Sebe
ICCV
2005
IEEE
16 years 8 months ago
Active Search for Real-Time Vision
In most cases when information is to be extracted from an image, there are priors available on the state of the world and therefore on the detailed measurements which will be obta...
Andrew J. Davison
176
Voted
ISWC
2000
IEEE
15 years 11 months ago
Improvement of Panorama-Based Annotation Overlay Using Omnidirectional Vision and Inertial Sensors
Annotation overlay o n live video frames is an essential feature of augmented reality (AR): and is a well-suited applicationfor wearable computers. A novel method of annotation ov...
Masakatsu Kourogi, Takeshi Kurata, Katsuhiko Sakau...
ICCV
2009
IEEE
16 years 11 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...