This project is an attempt to completely replace faces in video frames using Support Vector Machines (SVM) as classifiers on Histogram of Oriented Gradients (HOG). We trained an SVM classifier to first identify a face in an image using HOG descriptors and then identify fiducial markers like eyes, nose and mouth in the identified face using Matlab’s Cascade Object Descriptor. Once a convex hull ...

Realistic 3D face model is desired in various applications such as face recognition, games, avatars, animations, and etc. Construction of 3D face model is composed of 1) building a face shape model and 2) rendering the face shape model. Thus, building a realistic 3D face shape model is an essential step for realistic 3D face model. Recently, 3D morphable model is successfully introduced to deal...

BACKGROUND & OBJECTIVES Insect wing morphology has been used in many studies to describe variations among species and populations using traditional morphometrics, and more recently geometric morphometrics. A landmark-based geometric morphometric analysis of the wings of three species of Aedes (Diptera: Culicidae), viz. Ae. aegypti, Ae. albopictus and Ae. pseudotaeniatus, at District Dehradun wa...

Infinitesimal deformations of a homogeneous and isotropic thick elastic plate have been analyzed by using a meshless local Petrov– Galerkin (MLPG) method and a higher-order shear and normal deformable plate theory (HONSDPT). Radial basis functions (RBF) are employed for constructing trial solutions, while a spline function is used as the weight function over a local subdomain. The present metho...

In this paper, we present a new approach for hand-written character and digit recognitions based on shape descriptor and the Hausdorff Context. We start at finding the corresponding points between two shapes by using a modified shape context. We then use these correspondences as key geometric points for shape alignment with the Thin Plate Spline (TPS) model. After the transformation has been ap...

Brain tumor detection is still a challenge in the field of brain compute-aided diagnosis. In the brain Magnetic Resonance Images (MRI), the correlation between lateral ventricles deformations and tumor existence has been found useful in brain tumor detection and prediction. To retrieve the lateral ventricles deformation data for further statistical analysis and processing, a new method has been...

In this manuscript, we propose a novel hybrid Landmark and Contour-Matching (LCM) image registration model to align pairs. The proposed uses contour information supplement missing edge in between exact landmarks. We demonstrate that the circumvent drawbacks associated with an straightforward application of Thin Plate Spline (TPS) technique.The provides higher post-registration Dice similarity r...

Image-based change quantitation has been recognized as a promising tool for accurate assessment of tumor's early response to chemoprevention in cancer research. For example, various changes on breast density and vascularity in glandular tissue are the indicators of early response to treatment. Accurate extraction of glandular tissue from pre- and postcontrast magnetic resonance (MR) images requ...

The meshless local Petrov–Galerkin (MLPG) method with radial basis functions (RBFs), and the higher order shear and normal deformable plate theory (HOSNDPT) are used to analyze static infinitesimal deformations of thick laminated composite elastic plates under different boundary conditions. Two types of RBFs, namely, multiquadrics (MQ) and thin plate splines (TPS), are employed for constructing...

There have been many studies and much attention paid to spatial sharpening for thermal imagery. Among them, TsHARP, based on the good correlation between vegetation index and land surface temperature (LST), is regarded as a standard technique because of its operational simplicity and effectiveness. However, as LST is affected by other factors (e.g., soil moisture) in the areas with low vegetati...