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In biometrics authentication systems, it has been shown that fusion of more than one modality (e.g., face and finger) and fusion of more than one classifier (two different algorithms) can improve the system performance. Often a score level fusion is adopted as this approach doesn't require the vendors to reveal much about their algorithms and features. Many score level transformations have been proposed...
In many identification problems, finding a duplicate using biometrics is very challenging task because of the size of the database and the errors related to the core biometrics engine. Fusion of different modes of biometric system can lead to improved recognition accuracy. In a multi classifier fusion scenario, the confidence of one classifier should not only depend on its own decision confidence...
The effect of different acquisition distances on the performance of face verification is studied. In particular, we evaluate two standard approaches using popular features (DCT and PCA) and matchers (GMM and SVM) under variation in the acquisition distance, as well as their score-level combination. The DCT-GMM-based system is found to be more robust to acquisition distance degradation than the PCA-SVM-based...
Multi-modal biometric fusion is more accurate and reliable compared to recognition using a single biometric modality. However, most existing fusion approaches neglect the influence of the qualities of the biometric samples in information fusion. Our goal is to advance the state-of-the-art in biometric fusion technology by providing a more universal and more accurate solution for personal identification...
In human facial behavioral analysis, Action Unit (AU) coding is a powerful instrument to cope with the diversity of facial expressions. Almost all of the work in the literature for facial action recognition is based on 2D camera images. Given the performance limitations in AU detection with 2D data, 3D facial surface information appears as a viable alternative. 3D systems capture true facial surface...
Methodology for fusing multiple segmentations to produce an improved result has been useful in computational anatomical studies. Although obtaining segmentations of anatomy having a particular topology are essential to studies using diffeomorphic deformation based analyses, no methods of label fusion presented to date have incorporated information regarding the topology of the anatomy. In this paper,...
We discuss the problem of fusing the information in a video stream with synchronized streams of location and orientation data obtained from sensors attached to the video camera. We are interested in using this information for the reconstruction of camera trajectory and observed scenery from consumer videos with the objective of visualizing those in a 3D virtual environment. We review existing literature...
The proliferation of camera-equipped mobile devices with enhanced mobile computing power and network connectivity results in a rising demand for mobile image search. Although image search has been studied extensively over the last few decades, most existing solutions are based on and optimized for desktop and server platforms, not for mobile devices. In this paper, we address some of the challenging...
This paper describes an automated visual tracking system combining time-lapse and end-point confocal microscopy to aid the interpretations of cell behaviors and interactions, with the focus on understanding the sprouting mechanism during angiogenesis. These multiple cells exhibit stochastic motion and are subjected to photo-bleaching and the images acquired are of low signal to noise ratio. Hence,...
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