نتایج جستجو برای: like images
تعداد نتایج: 898612 فیلتر نتایج به سال:
Social networking sites allow users to share images, E-commerce web sites also contains millions of images and thus forms image-rich information networks. Retrieving images from image-rich information networks is very challenging task, due to existence of information like text, user, image, feature, tags and group. The concept of image-rich information networks, image retrieval system and techn...
Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...
This paper compares the performance of different edge detection methods like Sobel, Prewitt, Robert’s, Canny, Laplacian, Laplacian of Gaussian with Gabor filter on number of images. It has been concluded that in case of natural images a Gabor filter yields better results than other operators but in case of medical images like CT, PET, MRI, the Canny operator shows better results as it provides ...
Acquisition of ultrasound images is cheap and noninvasive as it does not require ionizing radiations as compared to other medical imaging techniques but the problem with these images lies in its inherent characteristics like speckle noise and low contrast. In this paper the performance of various image enhancement techniques are compared by applying them on B-Mode breast ultrasound images (BUS)...
Autoencoders (AE) are essential in learning representation of large data (like images) for dimensionality reduction. Images are converted to sparse domain using transforms like Fast Fourier Transform (FFT) or Discrete Cosine Transform (DCT) where information that requires encoding is minimal. By optimally selecting the feature-rich frequencies, we are able to learn the latent vectors more robus...
. Paraphrasing Olivier Faugeras in the foreword of [1], making a robot see is still an unsolved and challenging task after several decades of research. The traditional research has been based on the geometric models of multiple views of a scene, estimating a sparse 3D map of the scene and the camera pose. Recent advances have led to fully dense and real-time 3D reconstructions. Also, there are ...
Proxies such as plant macrofossils, humification indices and testate amoebae have been developed to reconstruct past hydrological variability in ombrotrophic peatlands. Reconstructions based on these approaches have resulted in records of decadalto centennial-scale moisture variability in regions of North America and elsewhere. Although the various peatland moisture proxies generally show signi...
The use of rendered images, whether from completely synthetic datasets or from 3D reconstructions, is increasingly prevalent in vision tasks. However, little attention has been given to how the selection of viewpoints affects the performance of rendered training sets. In this paper, we propose a data-driven approach to view set selection. Given a set of example images, we extract statistics des...
We propose an algorithm to detect planes in a single image of an outdoor urban scene, capable of identifying multiple distinct planes, and estimating their orientation. Planar surfaces are ubiquitous in man-made environments, and convey useful information about scene structure; detecting them from a single image can be very useful since it requires no parallax, and can be done when only one ima...
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