Active shape models—their training and application
Computer Vision and Image Understanding
Graphical Templates for Model Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Matching Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Efficient deformable template detection and localization without user initialization
Computer Vision and Image Understanding
Nonserial Dynamic Programming
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
Matching by Linear Programming and Successive Convexification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rectification of the chordal axis transform skeleton and criteria for shape decomposition
Image and Vision Computing
An improved coordinate system for point correspondences of 2D articulated shapes
DGCI'09 Proceedings of the 15th IAPR international conference on Discrete geometry for computer imagery
Representation and matching of articulated shapes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Object detection by contour segment networks
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Rectification of the chordal axis transform and a new criterion for shape decomposition
DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
Efficient partial shape matching of outer contours
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Efficient and robust shape retrieval from deformable templates
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: applications and case studies - Volume Part II
| Hi-index | 0.00 |
We present a new method for detecting deformable shapes in images. The main difficulty with deformable template models is the very large (or infinite) number of possible non-rigid transformations of the templates. This makes the problem of finding an optimal match of a deformable template to an image incredibly hard. Using a new representation for deformable shapes we show how to efficiently find a global optimal solution to the non-rigid matching problem. Our matching algorithm can minimize a large class of energy functions, making it applicable to a wide range of problems. We present experimental results of detecting shapes in medical and natural images. Because we don't rely on local search techniques, our method is very robust, yielding good matches even in images with high clutter.