An interpolation method is presented for the reconstruction and recognition of human face images. Basic ingredients include an optimal basis set defining a low-dimensional face space and a set of “best interpolation pixels” capturing the most relevant characteristics of known faces. The best interpolation pixels are chosen as points of the pixel grid so as to best interpolate the set of known f...

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnv...

We introduce a new magnetic resonance (MR) method based on a pixel-by-pixel image processing to examine relationships between metabolic and structural processes in the pathologic hippocampus. The method was tested for lateralization of the epileptogenic zone in patients with temporal lobe epilepsy (TLE). Twenty patients with drug-resistant TLE and fifteen healthy controls were examined at 3T. T...

Many measurement modalities which perform imaging by probing an object pixel-by-pixel, such as via Photoacoustic Microscopy, produce a multi-dimensional feature (typically time-domain signal) at each pixel. In principle, the many degrees of freedom in signal would admit possibility significant multi-modal information being implicitly present, much more than single scalar “brightness”, regarding...

The ability of a statistical/neural network to classify faces by sex by means of a pixel-based representation has not been fully investigated. Simulations with pixel-based codes have provided sex-classification results that are less impressive than those reported for measurement-based codes. In no case, however, have the reported pixel-based simulations been optimized for the task of classifyin...

Image generation for raster displays proceeds in two main steps: geometry pro­ cessing and pixel processing. The snbsystem performing the pixel processing is called display processor. In the paper a model for the displa.y processor is developed that takes into account both function and timing properties. The model identifies scan conversion, hidden surface removal, shading and anti-aliasing as ...

This report describes a two-pass binocular stereo algorithm that is specifically geared towards the detection of depth discontinuities. In the rst pass, introduced in part I of the report, stereo matching is performed independently on each epipolar pair for maximum e ciency. In the second pass, described in part II, disparity information is propagated between the scanlines. Part I. Our stereo a...

A damage detection method using middle-resolution satellite images, the Image Fluctuation Model method, is proposed, which employs a stochastic model of the digital number (DN) fluctuation in a normal condition and its significance test. The DN fluctuation model is formulated by considering an imaging process of a satellite sensor and an image registration process. A resulting thematic map is c...

Real-time and accurate background modeling is an important researching topic in the fields of remote monitoring and video surveillance. Meanwhile, effective foreground detection is a preliminary requirement and decision-making basis for sustainable energy management, especially in smart meters. The environment monitoring results provide a decision-making basis for energy-saving strategies. For ...

An accurate crop area estimation method based on satellite remote sensing imagery is needed to manage the agricultural subsidy system of the European Union. The area estima-tor can use either classiication, which allocates a pixel to a single class, or decomposition, which divides a pixel between several classes, to determine the ground cover type(s) a pixel is composed of. While in early days ...