Πλοήγηση ανά Θέμα "Computer vision"
Αποτελέσματα 1-20 από 43
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360-Attack: Distortion-Aware Perturbations from Perspective-Views
(2022)The application of deep neural networks (DNNs) on 360-degree images has achieved remarkable progress in the recent years. However, DNNs have been demonstrated to be vulnerable to well-crafted adversarial examples, which ... -
ACCURATE AND RESOURCE-EFFICIENT LIPREADING WITH EFFICIENTNETV2 AND TRANSFORMERS
(2022)We present a novel resource-efficient end-to-end architecture for lipreading that achieves state-of-the-art results on a popular and challenging benchmark. In particular, we make the following contributions: First, inspired ... -
An artificial neural network architecture for non-parametric visual odometry in wireless capsule endoscopy
(2017)Wireless capsule endoscopy is a non-invasive screening procedure of the gastrointestinal (GI) tract performed with an ingestible capsule endoscope (CE) of the size of a large vitamin pill. Such endoscopes are equipped with ... -
Automated detection of streaks in dermoscopy images
(2015)In this paper we present a novel algorithm for the detection of dark linear structures, which appear in digital dermoscopy images of skin lesions and they are called as streaks in relevant literature. The proposed algorithm ... -
Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey
(2022)Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition. The numerous challenges associated with geoscience-related imaging data, which include poor imaging quality, ... -
Convolutional neural networks for pose recognition in binary omni-directional images
(2016)In this work, we present a methodology for pose classification of silhouettes using convolutional neural networks. The training set consists exclusively from the synthetic images that are generated from three-dimensional ... -
Crop reflectance measurements for nitrogen deficiency detection in a soilless tomato crop
(2018)Early detection of nitrogen deficit stress is essential to effectively and precisely manage crop production under greenhouse conditions. This article demonstrates the use of hyperspectral machine vision as a non-contact ... -
Deep affordance-grounded sensorimotor object recognition
(2017)It is well-established by cognitive neuroscience that human perception of objects constitutes a complex process, where object appearance information is combined with evidence about the so-called object “affordances”, namely ... -
A dynamic interface adaptation approach for accessible immersive environments
(2016)Current trends in context-Aware computing have altered the static nature of interfaces and equipped them with the ability to adapt to the physical or social context. This paper investigates new paradigms towards cognitive ... -
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
(2020)We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge. Based on recent literature on the effect of context/environment on emotion, as well as visual ... -
ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study
(2022)Visual impairment affects a significantly large number of individuals and in many cases it may disturb their daily life. This study presents a novel prototype wearable device which aims to assist them in tasks such as ... -
Estimation of robot position and orientation using a stationary fisheye camera
(2015)A core problem in robotics is the determination of the location and pose of a mobile robot in its environment. The localization is a basic operation, which must be successfully carried out in complex environments using ... -
Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos
(2020)In this paper, we investigate the benefit of 3D hand skeletal information to the task of sign language (SL) recognition from RGB videos, within a state-of-the-art, multiple-stream, deep-learning recognition system. As most ... -
Feature extraction and pattern recognition from fisheye images in the spatial domain
(2018)Feature extraction for pattern recognition is a very common task in image analysis and computer vision. Most of the work has been reported for images / image sequences acquired by perspective cameras. This paper discusses ... -
Film Shot Type Classification Based on Camera Movement Styles
(2022)Visual information contains the most important characteri-stics of a movie regarding the related content and filming techniques. Especially the way the camera moves to capture the scene is vital to define the director’s ... -
Fisheye lens distortion correction on multicore and hardware accelerator platforms
(2010)Wide-angle (fisheye) lenses are often used in virtual reality and computer vision applications to widen the field of view of conventional cameras. Those lenses, however, distort images. For most real-world applications the ... -
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images
(2016)A significant number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from segmented objects. One widely used class of such descriptors are the invariant moments, with ... -
Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop
(2018)Early detection of water deficit stress is essential for efficient crop management. In this study, hyperspectral machine vision was used as a non-contact technique for detecting changes in spectral reflectance of a soilless ... -
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters
(2019)In this work, we focus in the analysis of dermoscopy images using convolutional neural networks (CNNs). More specifically, we investigate the value of augmenting CNN inputs with the response of mid-level computer vision ... -
Independent component clustering for skin lesions characterization
(2011)In this paper, we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ...