297 search results - page 6 / 60 » Monte Carlo Localization Using SIFT Features |
ICPR
2002
IEEE
14 years 3 months ago
2002
IEEE
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
ICPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
IROS
2006
IEEE
14 years 4 months ago
2006
IEEE
- This paper introduces a new perceptual model for Monte Carlo Localization (MCL). In our approach a 3D laser scanner is used to observe the ceiling. The MCL matches ceiling struct...
JUCS
2011
13 years 5 months ago
2011
: This paper describes a new approach to document classification based on visual features alone. Text-based retrieval systems perform poorly on noisy text. We have conducted serie...
MM
2010
ACM
13 years 11 months ago
2010
ACM
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 ...