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The shortcomings of conventional access control systems for high‐security environments have led to the concert of continuous authentication. Contrary to traditional verification, in which users are authenticated only once at the start of their session, continuous authentication systems regularly check users' identities to prevent hijackings. The challenges in this area involve balancing the security...
The use of sweat pores in fingerprint recognition is becoming increasingly popular, mostly because of the wide availability of pores, which provides complementary information for matching distorted or incomplete images. In this work we present a fully automatic pore-based fingerprint recognition framework that combines both pores and ridges to measure the similarity of two images. To obtain the ridge...
We present a continuous 3D face authentication system that uses a RGB-D camera to monitor the accessing user and ensure that only the allowed user uses a protected system. At the best of our knowledge, this is the first system that uses 3D face images to accomplish such objective. By using depth images, we reduce the amount of user cooperation that is required by the previous continuous authentication...
In this work, we automate a 3D reconstruction pipeline using two SURF-based approaches. The first approach uses SURF correspondences to pre-align multiple 3D scans from a same object without requiring manual labor. The second approach uses SURF correspondences to calibrate high resolution color images to 3D scans in order to improve the texture quality of the final 3D model. Both approaches succeeded...
In this work we evaluate the influence of pose variation on 3D face reconstruction from a single image. To this end, we present a 3D reconstruction method that combines a fitting technique and a sparse 3D deformable model to estimate the 3D information of 2D images with large pose variations. For our experiments, we synthetically created 2D images by rendering 3D models from the BU-3DFE database in...
We present a scale-invariant face detection approach based on boosted cascade classifiers using range images as input. The detector was developed to be employed as a preliminary stage for any real-time 3D face recognition system. The required computation time for this task was considerably reduced by eliminating the need for scanning an input image in multiple scales. Our experiments were performed...
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