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» Shape Matching and Object Recognition
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CVPR
2005
IEEE
14 years 11 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
MVA
1994
235views Computer Vision» more  MVA 1994»
13 years 10 months ago
Obtaining 3-D shape from Silhouette Informations Interpolated by Photometric Stereo
The idea of photometric stereo is to serially vary the direction of incident illumination on the state of the holded view point, but it can locally reconstruct only the front surf...
Changsuk Cho, Haruyuki Minamitani
ICCV
2007
IEEE
14 years 11 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
3DOR
2009
13 years 10 months ago
Retrieval of 3D Articulated Objects Using a Graph-based Representation
Most of the approaches which address the problem of 3D object retrieval, use global descriptors of the objects which fail to consistently compensate for the intra-class variabilit...
Alexander Agathos, Ioannis Pratikakis, Panagiotis ...
CVPR
2007
IEEE
14 years 11 months ago
Layered Graph Match with Graph Editing
Many vision tasks are posed as either graph partitioning (coloring) or graph matching (correspondence) problems. The former include segmentation and grouping, and the latter inclu...
Liang Lin, Song Chun Zhu, Yongtian Wang