83 search results - page 6 / 17 » Combining local descriptors for 3D object recognition and ca... |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
ECCV
2010
Springer
13 years 12 months ago
2010
Springer
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
EPIA
2009
Springer
14 years 2 months ago
2009
Springer
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
BMVC
2010
13 years 5 months ago
2010
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...