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» Auto-context and its application to high-level vision tasks
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ISMAR
2003
IEEE
14 years 23 days ago
Real-Time Localisation and Mapping with Wearable Active Vision
We present a general method for real-time, visiononly single-camera simultaneous localisation and mapping (SLAM) — an algorithm which is applicable to the localisation of any ca...
Andrew J. Davison, Walterio W. Mayol-Cuevas, David...
CHI
2011
ACM
12 years 11 months ago
Deep shot: a framework for migrating tasks across devices using mobile phone cameras
A user task often spans multiple heterogeneous devices, e.g., working on a PC in the office and continuing the work on a laptop or a mobile phone while commuting on a shuttle. How...
Tsung-Hsiang Chang, Yang Li
JIRS
2007
120views more  JIRS 2007»
13 years 7 months ago
Optimal Camera Placement for Automated Surveillance Tasks
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...
Robert Bodor, Andrew Drenner, Paul R. Schrater, Ni...
ICVS
2001
Springer
13 years 12 months ago
A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room
Abstract. In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tra...
Deepak R. Karuppiah, Zhigang Zhu, Prashant J. Shen...
CVPR
2007
IEEE
14 years 9 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...