This paper addresses the problem of estimating face orientation from automatic detection of salient facial structures using learned robust features. Face imagettes are detected using color and described using a weighted sum of locally normalized Gaussian receptive fields. Robust face features are learned by clustering the Gaussian derivative responses within a training set face imagettes. The m...

Fake websites have emerged as a major source of online fraud, accounting for billions of dollars of loss by Internet users. We explore the process by which salient design elements could increase the use of protective tools, thus reducing the success rate of fake websites. Using the protection motivation theory, we conceptualize a model to investigate how salient design elements of detection too...

Biometrics is the word derived from Greek words ―Bio‖ means (life) & ―Metrics‖ means (to measure). Biometrics is the science of measuring human characteristics for the purpose of authenticating or identify ing the identity of an individual. Biometrics System is used for automated recognition of an individual. In Informat ion system in particu lar b iometrics is used as a form of identity access...

This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such transformations introduce significant changes in the point location as well as in the scale and the shape of the neighbourhood of an interest point. Our approach allows to solve for these problems simultaneously. It ...

We propose a learning-based image feature points detector. Instead of giving an explicit definition for feature point we apply the methods of machine learning to infer it inductively using a representative training set. This allows for a flexible tuning of the proposed detector to a specific problem that is described by a training set of desired responses. To increase feature points' repeatabil...

This paper presents a new feature point detector that is accurate, efficient and fast. A detailed qualitative evaluation of the proposed feature point detector for grayscale images is also done. Experiments have proved that this feature point detector is robust to affine transformations, noise and perspective deformations. More over the proposed detector requires only 22 additions per pixel to ...

The focal point of a high-numerical-aperture (NA) ultrasonic transducer can be used as a virtual point detector. This virtual point detector detects omnidirectionally over a wide acceptance angle. It also combines a large active transducer surface and a small effective virtual detector size. Thus the sensitivity is high compared with that of a real point detector, and the aperture effect is sma...

Many algorithms for computer vision rely on locating interest points, or keypoints in each image, and calculating a feature description from the pixel region surrounding the interest point. This is in contrast to methods such as correlation, where a larger rectangular pattern is stepped over the image at pixel intervals and the correlation is measured at each location. The interest point is the...