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Research Highlights ► Approximation of an infinite dimensional space (shape space) by a lower dimensional space using diffusion maps. ► We propose two variational models to project data onto the low-dimensional representation. ► We apply our projection algorithm to solve the problem of...
Research highlights ► We perform eye-tracking from a head-mounted device designed for children. ► We use Support Vector Regression to map eye-image pixels to gaze coordinates. ► Passive lighting allows tracking on very wide field of view (96° × 96°). ► Tracking accuracy is higher for...
Research highlights ► The effects of pose on facial expression recognition are presented. ► Variations of LBP’s are investigated for multi-view expression recognition. ► A novel facial expression feature, local gabor binary patterns (LGBPs) is presented. ► Experiments on both synthetic...
Research highlights ► Camera parameter accuracy depends on accuracy of feature points. ► Collinear feature points increase accuracy compared to regular points. ► Calculate the covariance of collinear points. ► Increase the accuracy of camera parameters using calculated point-covariances....
Research highlights ► This work is the first model-based approach to ear biometric recognition. ► This is achieved using evidence from embryonic development of the human ear. ► The advantages of a model-based approach include robustness in noise and occlusion.
Research highlights ► We present a 3D articulated human body tracking and action classification methods. ► The method is based on non-linear dimensionality reduction. ► The tracker uses the learned mapping function from latent space to body pose space. ► Trajectories in the latent space...
Research highlights ► A novel algorithm for tracking crowded particles is described using network flows. ► The algorithm casts the particle assignment as an optimum-flow minimum-cost problem. ► The optimum-flow objective achieves minimized selection of false positive assignments. ►...
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