In times of disaster acquiring aerial images is challenging. Runways may be crippled thus denying conventional aircraft in the area from taking off. Also the time required to schedule a satellite fly-by may delay first response efforts. Man backpackable aerial robots can be carried close to the disaster site and flown to capture aerial images. This paper integrates mechatronics, intelligent sen...

In times of disaster acquiring aerial images is challenging. Runways may be crippled thus denying conventional aircraft in the area from taking off. Also the time required to schedule a satellite fly-by may delay first response efforts. Man backpackable aerial robots can be carried close to the disaster site and flown to capture aerial images. This paper integrates mechatronics, intelligent sen...

Images form integral part of interactive services broadcasted in digital television. Natural images compression is always trade-off between visual quality and file size. Annoying artifacts arise in highly compressed images. The scope of this article is to investigate the possibilities of image compression enhancement for interactive services. The aim is to decrease size of the image file in suc...

Scanning tunneling images of carbon nanotubes frequently show electron distributions that break the local sixfold symmetry of the graphene sheet. We present a theory of these images that relates these anisotropies to the off-diagonal correlations in the single-particle density matrix, and allows one to extract these correlations from the observed images. The theory is applied to images of the l...

Off-the-shelf convolutional neural network features achieve outstanding results in many image retrieval tasks. However, their invariance to target data is pre-defined by the architecture and training data. Existing approaches require fine-tuning or modification of pre-trained networks adapt variations unique In contrast, our method enhances off-the-shelf aggregating extracted from images augmen...

In times of disaster acquiring aerial images is challenging. Runways may be crippled thus denying conventional aircraft in the area from taking off. Also the time required to schedule a satellite fly-by may delay first response efforts. Man backpackable aerial robots can be carried close to the disaster site and flown to capture aerial images. This paper integrates mechatronics, intelligent sen...

We propose a matching method for images captured at different times and under different capturing conditions. Our method is designed for change detection in streetscapes using normal automobiles that has an off-the-shelf car mounted camera and a GPS. Therefore, we should analyze low resolution and frame-rate images captured asynchronously. To cope with this difficulty, previous and current pano...

OBJECTIVE The aim was to examine the effect of dopaminergic medication on stimulus-response learning versus performing decisions based on learning. METHOD To see the effect of dopaminergic therapy on stimulus-response learning and response selection, participants with Parkinson's disease (PD) were either tested on and/or off their prescribed dose of dopaminergic therapy during different testi...

BACKGROUND A low excitation flip angle (α < 10°) steady-state free precession (SSFP) proton-density (PD) reference scan is often used to estimate the B1-field inhomogeneity for surface coil intensity correction (SCIC) of the saturation-recovery (SR) prepared high flip angle (α = 40-50°) SSFP myocardial perfusion images. The different SSFP off-resonance response for these two flip angles might l...