The 3D-shape matching problem plays a crucial role in many applications such as indexing or modeling by example. Here, we present a novel approach to match 3D-objects in presence of non-rigid transformation and partially similar models. In this paper, we use the representation of surfaces by 3D-curves extracted around feature points. Indeed, surfaces are represented with a collection of closed curves and tools from shape analysis of curves are applied to analyze and to compare curves. The belief functions are used to define a global distance between 3D-objects. The experimental results obtained on the TOSCA and the SHREC07 datasets show that the system efficiently performs in retrieving similar 3D-models.