This paper reports the study results on neural network training algorithm of numerical optimization techniques multiface detection in static images. The training algorithms involved are scale gradient conjugate backpropagation, conjugate gradient backpropagation with Polak-Riebre updates, conjugate gradient backpropagation with Fletcher-Reeves updates, one secant backpropagation and resilent ba...

One-dimensional (1-D) Dynamic supply Voltage Scaling (DVS) scheme with image distortion compensation is proposed for reducing the static power consumption in AMOLED displays. A hybrid simulation platform combining MATLAB and circuit simulator HSPICE was built for the study. By applying the DVS scheme to both static images and video streams, it is shown significant power saving can be achieved (...

the ability of smartphone technology to document static microscopy images has been well documented and is gaining widespread use in ophthalmology, where slit-lamp biomicroscopy is frequently utilized. however, little has been described regarding the use of smartphone technology to relay video of tissue microscopy results to patients, particularly when a tissue sample integrates motility of orga...

Studies that attempt to define facial attractiveness often do so in terms of structural features of the face (e.g., symmetry, averageness). However, these studies typically use static images of faces that may not be analogous to dynamic faces that are frequently used in other areas of attractiveness research, such as research investigating the impact of attractiveness on social interaction. The...

BACKGROUND Low-dose oral contraceptives (OC) have been reported to control primary dysmenorrhea. Furthermore, a close relationship between dysmenorrhea and uterine contractions has been visualized with magnetic resonance imaging (MRI). This study aimed to use cine MR to demonstrate the effects of OC on myometrial contractility during menstruation and to associate the findings with dysmenorrhea....

Angular differential imaging is a high-contrast imaging technique that reduces quasi-static speckle noise and facilitates the detection of nearby companions. A sequence of images is acquired with an altitude/azimuth telescope while the instrument field derotator is switched off. This keeps the instrument and telescope optics aligned and allows the field of view to rotate with respect to the ins...

The paper presents a new coding technique for images taken from arbitrary recording positions around a static scene, based on reconstructed object geometry. Such data structures occur in image-based rendering applications where many hundreds to thousands of images need to be stored and transmitted. Approximate scene geometry enables disparity compensation as well as occlusion detection, leading...

We propose a novel approach based on deep Convolutional Neural Networks (CNN) to recognize human actions in still images by predicting the future motion, and detecting the shape and location of the salient parts of the image. We make the following major contributions to this important area of research: (i) We use the predicted future motion in the static image (Walker et al., 2015) as a means o...

Algorithms for approximately optimal quantization of color images are discussed. The distortion measure used is the distance in RGB space. These algorithms are used to compute the color map for low-depth frame buffers in order to allow high-quality static images to be displayed. It is demonstrated that most color images can be very well displayed using only 256 or 512 colors. Thus frame buffers...