297 search results - page 12 / 60 » Monte Carlo Localization Using SIFT Features |
79
Voted
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
MM
2010
ACM
14 years 12 months ago
2010
ACM
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
121
Voted
FLAIRS
2007
15 years 2 months ago
2007
1 This paper describes two major student projects for the artificial intelligence course – Mapping using Bayesian filter and Monte Carlo Localization. These projects are also sui...
117
Voted
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
108
Voted
ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...