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210
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CVPR
2009
IEEE
17 years 2 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
187
Voted
ICIP
2004
IEEE
16 years 8 months ago
Camera calibration without metric information using 1D objects
This paper addresses the problem of calibrating a pin-hole camera from images of 1D objects. Assuming a unit aspect ratio and zero skew, we introduce a novel and simple approach t...
Xiaochun Cao, Hassan Foroosh
183
Voted
ICIP
2003
IEEE
16 years 8 months ago
Mosaic of a video shot with multiple moving objects
In this paper we describe an application which takes a video shot as input and produces a compact representation composed by a background layer and segmented moving objects. We de...
Andrea Fusiello, M. Aprile, Roberto Marzotto, Vitt...
184
Voted
ICML
2005
IEEE
16 years 7 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
203
Voted
IROS
2009
IEEE
141views Robotics» more  IROS 2009»
16 years 1 months ago
Robust on-line model-based object detection from range images
— A mobile robot that accomplishes high level tasks needs to be able to classify the objects in the environment and to determine their location. In this paper, we address the pro...
Bastian Steder, Giorgio Grisetti, Mark Van Loock, ...