7 research outputs found
Multi-references shape constraint for snakes
In this research, we intend to present a new method of snakes with an invariant shape prior. We consider the
general case where different templates are available and we have to choose the most suitable ones to define the
shape constraint. A new external force is then proposed which is able to take into account several references at the
same time with proportional weighting factors. Both a Fourier based shape alignment method and a complete and
stable set of shape descriptors are used to ensure invariance and robustness of the prior knowledge to Euclidean
transformations. To illustrate the efficiency of our approach, a set of experiments are applied on synthetic and real
data. Promising results are obtained and commented
Multi-references shape constraint for snakes
In this research, we intend to present a new method of snakes with an invariant shape prior. We consider the
general case where different templates are available and we have to choose the most suitable ones to define the
shape constraint. A new external force is then proposed which is able to take into account several references at the
same time with proportional weighting factors. Both a Fourier based shape alignment method and a complete and
stable set of shape descriptors are used to ensure invariance and robustness of the prior knowledge to Euclidean
transformations. To illustrate the efficiency of our approach, a set of experiments are applied on synthetic and real
data. Promising results are obtained and commented