Accurate calibration with highly distorted images

Fast identification of highly distorted images

In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the average probability of error. An expected improvement of the performance is obtained combining random projection transform and concept of bit reliability. Simulations based on synthetic and real data confirm the efficiency ...

Automatic Corner Matching in Highly Distorted Images of Zhang's Calibration Pattern

Zhang’s method is a widely used technique for camera calibration from different views of a planar calibration pattern. This pattern contains a set of squares arranged in a certain configuration. In order to calibrate the camera, the corners of the squares in the images must be matched with those in the reference model. When the images show a strong lens distortion, the usual methods to compute ...

Highly Accurate Calibration Target for Multiple Mode SAR Systems

The product quality with respect to radiometric accuracy of current and future space-borne synthetic aperture radar (SAR) systems depends on the grade of the utilized external calibration targets. This paper presents the first steps taken in designing and building a highly accurate active target (transponder), which exhibits high radar cross section stability (in the order of a tenth of a decib...

Identification of Highly Distorted Audio . . .

Highly Accurate and Fast Face Recognition Using Near Infrared Images

In this paper, we present a highly accurate, realtime face recognition system for cooperative user applications. The novelties are: (1) a novel design of camera hardware, and (2) a learning based procedure for effective face and eye detection and recognition with the resulting imagery. The hardware minimizes environmental lighting and delivers face images with frontal lighting. This avoids many...