Sequence Grouping

We consider the problem of learning density mixture models for Classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent the density at all points in the sample space. Discriminative learning, on the other hand, aims

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Human Motion

Marginal Nonlinear Dynamic System (MNDS) [1]

The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. To automate the process of motion modeling we consider a class of learned dynamic models cast in the framework Read the rest

Face Recognition

Video-based Face Tracking and Recognition with Visual Constraints [1]

We address the problem of tracking and recognition of faces in real-world, noisy videos. We identify faces using a tracker that adaptively builds the target model reflecting changes in appearance, typical Read the rest

Image Segmentation

Image segmentation is one of the most important steps leading to the analysis of image data. The goal is dividing the image into parts that have homogeneous attributes, and have a strong correlation with objects or areas of the real Read the rest

Shape Modeling

Shape analysis is an important process for many computer vision applications, including image classification, recognition, retrieval, registration, segmentation, etc. An ideal shape model should be both invariant to global transformations and robust to local distortions. In this work we developed Read the rest

GP-MKDR

Gaussian Process Manifold Kernel Dimensionality Reduction (GPMKDR) [1]

Constructing optimal regressors is an important task in computer vision. Problems such as tracking, 3D human and general object pose estimation, image and signal denoising, illumination direction estimation are but some of
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Classifying Brain Signals

 

The brain mechanisms underlying the ability of humans to process faces have been studied extensively in the last two decades. Brain imaging techniques, particularly fMRI (functional Magnetic Resonance Imaging) that possesses high spatial resolution but limited temporal resolution, are advancing … Read the rest