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» Computing Visual Attention from Scene Depth
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WAPCV
2004
Springer
15 years 3 months ago
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition
Visual attention refers to the ability of a vision system to rapidly detect visually salient locations in a given scene. On the other hand, the selection of robust visual landmarks...
Nabil Ouerhani, Heinz Hügli, Gabriel Gruener,...
WAPCV
2007
Springer
15 years 3 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
ICIP
2000
IEEE
15 years 11 months ago
Scene Reconstruction from Multiple Cameras
This paper reviews a number of recently developed stereo matching algorithms and representations. It focuses on techniques that are especially well suited for stereoscopic and 3-D...
Richard Szeliski
PAMI
2006
229views more  PAMI 2006»
14 years 9 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
ICCV
2009
IEEE
16 years 2 months ago
Reconstructing Building Interiors from Images
This paper proposes a fully automated 3D reconstruction and visualization system for architectural scenes (interiors and exteriors). The reconstruction of indoor environments fr...
Yasutaka Furukawa, Brian Curless, Steven M. Seitz,...