General non-invasive shape reconstruction and recognition method applied to 3D external biologic morphologies

Presents early results of a potentially fast, efficient and reliable method to extract and recognize the shape of a general 3D external biological morphology. A computer vision based measurement system is used to acquire the 3D shape data. The recognition algorithm proposed here is based on distance calculation and is used to compute the proximity of the biologic shape under test and a reference shape. As an application example, the authors present a human face recognition case. The effectiveness of the algorithm is demonstrated here in two tests in which the same person is compared with himself within different facial expressions and with others persons with different expressions too. The results are presented in a comparative chart.