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114
Voted
CVPR
2007
IEEE
16 years 4 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
131
Voted
ICCV
2003
IEEE
16 years 4 months ago
Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints
An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a tex...
John Isidoro, Stan Sclaroff
139
Voted
ECCV
2008
Springer
16 years 4 months ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
125
Voted
ECCV
2008
Springer
16 years 4 months ago
Fast Automatic Single-View 3-d Reconstruction of Urban Scenes
We consider the problem of estimating 3-d structure from a single still image of an outdoor urban scene. Our goal is to efficiently create 3-d models which are visually pleasant. W...
Olga Barinova, Vadim Konushin, Anton Yakubenko, Ke...
122
Voted
ECCV
2006
Springer
16 years 4 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss