3D Facial Similarity Measure Based on Geodesic Network and Curvatures

Automated 3D facial similarity measure is a challenging and valuable research topic in anthropology and computer graphics. It is widely used in various fields, such as criminal investigation, kinship confirmation, and face recognition. This paper proposes a 3D facial similarity measure method based on a combination of geodesic and curvature features. Firstly, a geodesic network is generated for each face with geodesics and iso-geodesics determined and these network points are adopted as the correspondence across face models. Then, four metrics associated with curvatures, that is, the mean curvature, Gaussian curvature, shape index, and curvedness, are computed for each network point by using a weighted average of its neighborhood points. Finally, correlation coefficients according to these metrics are computed, respectively, as the similarity measures between two 3D face models. Experiments of different persons’ 3D facial models and different 3D facial models of the same person are implemented and compared with a subjective face similarity study. The results show that the geodesic network plays an important role in 3D facial similarity measure. The similarity measure defined by shape index is consistent with human’s subjective evaluation basically, and it can measure the 3D face similarity more objectively than the other indices

Defense Strategy of Aircraft Confronted with IR Guided Missile

Surface-type infrared (IR) decoy can simulate the IR characteristics of the target aircraft, which is one of the most effective equipment to confront IR guided missile. In the air combat, the IR guided missile poses a serious threat to the aircraft when it comes from the front of target aircraft. In this paper, firstly, the model of aircraft and surface-type IR decoy is established. To ensure their authenticity, the aircraft maneuver and radiation models based on real data of flight and exhaust system radiation in the state of different heights and different speeds are established. Secondly, the most effective avoidance maneuver is simulated when the missile comes from the front of the target aircraft. Lastly, combining maneuver with decoys, the best defense strategy is analysed when the missile comes from the front of aircraft. The result of simulation, which is authentic, is propitious to avoid the missile and improve the survivability of aircraft

Craniofacial Reconstruction Evaluation by Geodesic Network

International audienceCraniofacial reconstruction is to estimate an individual’s face model from its skull. It has a widespread application in forensicmedicine, archeology, medical cosmetic surgery, and so forth. However, little attention is paid to the evaluation of craniofacialreconstruction. This paper proposes an objective method to evaluate globally and locally the reconstructed craniofacial facesbased on the geodesic network. Firstly, the geodesic networks of the reconstructed craniofacial face and the original face are built,respectively, by geodesics and isogeodesics, whose intersections are network vertices. Then, the absolute value of the correlationcoefficient of the features of all corresponding geodesic network vertices between two models is taken as the holistic similarity,where the weighted average of the shape index values in a neighborhood is defined as the feature of each network vertex.Moreover,the geodesic network vertices of each model are divided into six subareas, that is, forehead, eyes, nose, mouth, cheeks, and chin,and the local similarity is measured for each subarea. Experiments using 100 pairs of reconstructed craniofacial faces and theircorresponding original faces show that the evaluation by our method is roughly consistent with the subjective evaluation derivedfrom thirty-five persons in five groups