An improved shape matching algorithm for deformable objects using a global image feature
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
| Hi-index | 0.00 |
We address the problem of detecting objcts/shapes with large deformation and articulation in cluttered images. The approach requires a shape prior that describes the approximated outline and articulation property of a given model. While dynamic programming is often used in solving shape detection, our focus is on formulating a more effective energy function to evaluate the optimality of a matching between the shape prior and image features. For efficiency, the detection via optimization is carried out over a non-uniform elastic grid based on referencing the edge information. Experimental results are included to illustrate our method.