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» Robust Algorithms for Object Localization
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CVPR
2009
IEEE
15 years 3 months ago
Multiple Instance Feature for Robust Part-based Object Detection
Feature misalignment in object detection refers to the phenomenon that features which re up in some positive detection windows do not re up in other pos- itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
CVPR
2007
IEEE
14 years 10 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
CVPR
2001
IEEE
14 years 10 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
CVPR
2007
IEEE
14 years 10 months ago
Flexible Object Models for Category-Level 3D Object Recognition
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Akash Kushal, Cordelia Schmid, Jean Ponce
CVPR
2007
IEEE
14 years 14 days ago
Local Shape Registration Using Boundary-Constrained Match of Skeletons
This paper presents a new shape registration algorithm that establishes "meaningful correspondence" between objects, in that it preserves the local shape correspondence ...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...