Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Elements of information theory
Elements of information theory
Graphical Templates for Model Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer and Robot Vision
The Softassign Procrustes Matching Algorithm
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Unsupervised Learning of Human Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Big Omicron and big Omega and big Theta
ACM SIGACT News
Combining Top-Down and Bottom-Up Segmentation
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 4 - Volume 04
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Graphical models for graph matching: Approximate models and optimal algorithms
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Object detection by contour segment networks
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
| Hi-index | 0.00 |
Graphical models have proved to be very efficient models for labeling image data. In this paper, the use of graphical models based on Decomposable Triangulated Graphs are applied for several still image databases landmark localization. We use a recently presented algorithm based on the Branch&Bound methodology, that is able to improve the state of the art. Experimental results show the improvement given by this new algorithm with respect to the classical Dynamic Programming based approach.