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» MAVIS: A Visual Environment for Active Computer Vision
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CVPR
2007
IEEE
14 years 10 months ago
Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description
Two major limitations of real-time visual SLAM algorithms are the restricted range of views over which they can operate and their lack of robustness when faced with erratic camera...
Denis Chekhlov, Mark Pupilli, Walterio W. Mayol-Cu...
CVPR
2009
IEEE
15 years 3 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
JUCS
2006
135views more  JUCS 2006»
13 years 8 months ago
Visualization Services in a Conference Context: An Approach by RFID Technology
: Ambient Intelligent (AmI) vision is a new concept materialized by the Six Framework Program of the European Community. It involves three key technologies: Ubiquitous Computing, U...
José Bravo, Ramón Hervás, Ino...
ECCV
2004
Springer
14 years 10 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
CVPR
2006
IEEE
14 years 10 months ago
Real-Time Visual SLAM with Resilience to Erratic Motion
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual...
Mark Pupilli, Andrew Calway