The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a method to estimate a depth map using an infrared projector and a pair of infrared color cameras that can capture infrared and color images simultaneously. The infrared projector projects a dot pattern so that the cameras capture infrared images of a scene textured by the dots with which depths to surfaces in the scene can be estimated regardless of whether they have visible textures...
Convolutional Neural Network (CNN) is efficient in learning hierarchical features from large image datasets, but its model complexity and large memory foot prints are preventing it from being deployed to devices without a server back-end support. Modern CNNs are always trained on GPUs or even GPU clusters with high speed computation capability due to the immense size of the network. A device based...
Classification of digital images into photographs and various kinds of non-photographic images has not been sufficiently studied but has many applications such as retrieval of real scene photographs from web sites and image databases. In this paper, we show that the combination of Bag of Visual Words of SURF features and histograms of LBPs for HSV and Luminance components (SURF+LBP(HSVL)) is simple,...
For the need of actually combining RGB data and depth input in computer vision research, new RGB-D features for object recognition are proposed. We present six kinds of RGB-D kernel matching functions on kernel view. They have the capability of capturing different RGB-depth cues including position, size, shape and distance. Due to the infinite dimensional character in Gaussian space, it is computationally...
The potential and feasibility of applying the knowledge of supervised learning methods to Chinese traditional painting classification is discussed and evaluated. Data bases of different artists and categories are collected, from which numerical features are extracted describing paintings' color, texture and other characteristic. Two classification approaches aiming to school and artist classification...
Use of digital image analysis for the identification of seeds has not been recognized as a validated method. Image analysis for seed identification has been previously studied, and good recognition rates have been achieved. However, the data sets used in these experiments either contain very few groups of non-verified specimens or little representation of intra-species variations. This study considered...
In this paper, we present an approach for image-based surface classification using multi-class Support Vector Machine (SVM). Classifying surfaces in aerial images is an important step towards an increased aircraft autonomy in emergency landing situations. We design a one-vs-all SVM classifier and conduct experiments on five data sets. Results demonstrate consistent overall performance figures over...
We study diagnosis of Barrett's cancer from hematoxylin & eosin (H & E) stained histopathological biopsy images using multiple instance learning (MIL). We partition tissue cores into rectangular patches, and construct a feature vector consisting of a large set of cell-level and patch-level features for each patch. In MIL terms, we treat each tissue core as a bag (group of instances with a...
Colour Filter Array (CFA) demosaicking is a process to interpolate missing colour values in order to produce a full colour image when a single image sensor is used. For smooth regions, a higher order of interpolation will usually achieve higher accuracy. However when there is a colour edge, a lower order of interpolation is desirable as it will avoid interpolation across an edge without blurring it...
Creation and distribution of digital media has become part of daily life. Digital images are used in many fields but authenticity of an image is needed if it is used as evidence in a courtroom. Thus, development of techniques to ensure image authenticity is an active research topic. Passive methods make use of statistical features of images to judge forgery. These methods divide an image into blocks...
In this paper, we present a new single shot structured light method to recover dense depth maps. Contrary to most temporal coding methods which require projecting a series of patterns, our method needs one color pattern only. Unlike most single shot spatial coding methods which establish correspondence along the edges of the captured images, our method produces a dense set of correspondences. Our...
Buruli ulcer (BU) disease is a devastating flesh-eating bacterial infection that each year affects thousands of people, but if detected early, it can be easily treated and cured. During the past several years, we have been developing an automated dermoscopy system for accurate analysis of skin lesions. In this paper, we describe our experience with BU detection in West Africa, and we focus on the...
Blood microscopic image segmentation is a fundamental tool for automated diagnosis of hematological disorders. In particular, lymphoblast image segmentation acts as the foundation for all image based leukemia diagnostic system. Precision in image segmentation is a necessary condition for improving the diagnostic accuracy in automated cytology. Since the diagnostic information content of the segmented...
Automatic adult video detection is a problem of interest to many organizations around the world. The aim is to restrict the easy access of underage youngsters to such potentially harmful material. Most of the existing techniques are mere extensions of image categorization approaches. In this paper we propose a video genre classification technique tuned specifically for adult content detection by considering...
Color signatures, histograms and bag of colors are basic and effective strategies for describing the color content of images, for retrieving images by their color appearance or providing color annotation. In some domains, colors assume a specific meaning for users and the color-based classification and retrieval should mirror the initial suggestions given by users in the training set. For instance...
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, showing great potentials for RGB-D perception (color+depth). Our main objective is to empirically understand the promises and challenges of scene labeling with RGB-D. We use the NYU Depth Dataset as collected and analyzed by...
In this work, we develop a computer vision based fall prevention system for hospital ward application. To prevent potential falls, once the event of patient get up from the bed is automatically detected, nursing staffs are alarmed immediately for assistance. For the detection task, we use a RGBD sensor (Microsoft Kinect). The geometric prior knowledge is exploited by identifying a set of task-specific...
We address the problem of automatic color categorization of the objects in surveillance videos. This problem is challenging for realistic situations due to the large intra-class variations of the same color and the large portions of noisy areas including the backgrounds and the parts of the objects that do not contribute to color assignments. We develop an integrated color categorization system with...
In order to eliminate the shortcomings in apple color grading, such as the slow speed, the large error, a novel fast intelligent grading method is presented, which is based on the improved particle swarm optimization (PSO) algorithm and Support Vector Machine. The main process is to acquire the colority of apple surface by the computer vision technology and extract its features which used as the samples...
In this paper, a novel method for unbiased curvilinear structure extraction of cartoon images is proposed. Our method based on Delaunay triangulation can extract two types of curves, decorative curves and boundary curves, with sub-pixel accuracy. In order to make it, we start by estimating edge points from both types of curves, using the information of the curves and their surroundings. According...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.