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» Using Photometric Invariants for 3D Object Recognition
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3DPVT
2006
IEEE
213views Visualization» more  3DPVT 2006»
15 years 3 months ago
Generalized RANSAC Framework for Relaxed Correspondence Problems
Finding correspondences between two (widely) separated views is essential for several computer vision tasks, such as structure and motion estimation and object recognition. In the...
Wei Zhang, Jana Kosecka
JMLR
2012
12 years 11 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
SIAMCO
2000
137views more  SIAMCO 2000»
14 years 9 months ago
On a Class of Diffeomorphic Matching Problems in One Dimension
We study a class of functional which can be used for matching objects which can be represented as mappings from a fixed interval, I, to some "feature space." This class o...
Alain Trouvé, Laurent Younes
MM
2010
ACM
462views Multimedia» more  MM 2010»
14 years 9 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
ICPR
2006
IEEE
15 years 10 months ago
Forest Extension of Error Correcting Output Codes and Boosted Landmarks
In this paper, we introduce a robust novel approach for detecting objects category in cluttered scenes by generating boosted contextual descriptors of landmarks. In particular, ou...
Oriol Pujol, Petia Radeva, Sergio Escalera