100 search results - page 15 / 20 » Sparse Flexible Models of Local Features |
JMLR
2010
13 years 2 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
TIP
2011
13 years 2 months ago
2011
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
NIPS
2004
13 years 9 months ago
2004
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper presents a novel approach for reconstructing free-form, texture-mapped, 3D scene models from a single painting or photograph. Given a sparse set of user-specified const...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...