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» Computing Visual Attention from Scene Depth
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160
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CVPR
2011
IEEE
14 years 11 months ago
What Makes a Chair a Chair?
Many object classes are primarily defined by their functions. However, this fact has been left largely unexploited by visual object categorization or detection systems. We propos...
Helmut Grabner, Juergen Gall, Luc VanGool
150
Voted
ECCV
2010
Springer
15 years 8 months ago
A Streakline Representation of Flow in Crowded Scenes
Based on the Lagrangian framework for fluid dynamics, a streakline representation of flow is presented to solve computer vision problems involving crowd and traffic flow. Streakl...
Ramin Mehran, Brian E. Moore, Mubarak Shah
151
Voted
ECCV
2006
Springer
15 years 7 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
154
Voted
ICCV
2007
IEEE
16 years 5 months ago
Efficient Multi-View Reconstruction of Large-Scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts
We present a novel method to reconstruct the 3D shape of a scene from several calibrated images. Our motivation is that most existing multi-view stereovision approaches require so...
Patrick Labatut, Jean-Philippe Pons, Renaud Kerive...
147
Voted
CVPR
2004
IEEE
16 years 5 months ago
Detecting and Reading Text in Natural Scenes
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
Xiangrong Chen, Alan L. Yuille