49 search results - page 7 / 10 » Probabilistic Modeling of Local Appearance and Spatial Relat... |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
CVIU
2008
13 years 7 months ago
2008
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...
ICPR
2010
IEEE
13 years 12 months ago
2010
IEEE
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We present a new approach to appearance-based object recognition, which captures the relationships between multiple model views and exploits them to improve recognition performanc...