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» Computing Visual Attention from Scene Depth
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106
Voted
CVPR
2003
IEEE
16 years 2 months ago
Joint 3D-Reconstruction and Background Separation in Multiple Views using Graph Cuts
This paper deals with simultaneous depth map estimation and background separation in a multi-view setting with several fixed calibrated cameras, two problems which have previously...
Bastian Goldlücke, Marcus A. Magnor
138
Voted
CGI
1998
IEEE
15 years 4 months ago
Automatic 3D Model Acquisition from Uncalibrated Image Sequences
In this paper the problem of obtaining 3D models from image sequences is addressed. The proposed method deals with uncalibrated monocular image sequences. No prior knowledge about...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
148
Voted
TIP
2008
344views more  TIP 2008»
15 years 14 days ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
MM
2006
ACM
130views Multimedia» more  MM 2006»
15 years 6 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
102
Voted
GRAPHITE
2007
ACM
15 years 4 months ago
A shape hierarchy for 3D modelling from video
This paper describes an interactive method for generating a model of a scene from image data. The method uses the camera parameters and point cloud typically generated by structur...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...