基于SIFT特征的匹配方法 We should easily recognize the point by looking through a small window Shifting a window in any direction should give a large change in intensity

Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normal

To accurately render a two-dimensional image of a three-dimensional scene, global illumination information that affects the intensity of each pixel of the image must be known

In this paper, we show a new method to reconstruct and update the background. This approach is based on double-background. We use the statistical information of the pixel intensity to construct a b

Wavelength Range: 1000 - 1350 nm Models With Internal And External Sensor Head Complete Benchtop Device incl. Preconfigured Notebo