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DAGM
2005
Springer
15 years 10 months ago
Automatic Foreground Propagation in Image Sequences for 3D Reconstruction
Abstract: In this paper we introduce a novel method for automatic propagation of foreground objects in image sequences. Our method is based on a combination of the mean-shift opera...
Mario Sormann, Christopher Zach, Joachim Bauer, Ko...
ICRA
2010
IEEE
195views Robotics» more  ICRA 2010»
15 years 2 months ago
Cooperative tracking of moving objects and face detection with a dual camera sensor
— This paper describes a sensor for autonomous surveillance capable of continuously monitoring the environment, while acquiring detailed images of specific areas. This is achiev...
Stefano Ghidoni, Alberto Pretto, Emanuele Menegatt...
NIPS
2004
15 years 5 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
CVPR
2012
IEEE
13 years 6 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...