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.
In this paper, we propose a normalized cone histogram features method to recognize human actions in video clips. The cone features are extracted based not on the center of gravity as is common, but on the head position of the extracted human region. Initially, the head, hands and legs positions are determined. Thereafter, the distances and orientations between the head and the hands and legs are the...
Over the past few decades, a considerable amount of literature has been published on shape classification. Since classification of well-segmented shapes has become easy to achieve, a number of recent studies have emphasized the importance of robustness to noise and deformations. So in this paper, we undertake the task of classifying similar & noisy binary shape images, using a biologically inspired...
The structured light techniques consisting of a light pattern with a regular structure in have been used widely for depth sensing. Traditional structured light pattern using the pattern with the fixed density and intensity is difficult to obtain the accuracy depth data. In this paper, We propose a depth sensing method of complex scenes by using a multimodal pattern consisting of structure lights with...
In this paper, we describe a novel technique for the extraction of object shapes from Terahertz images using a 3D graph-cut segmentation scheme. This approach to segmentation includes images in temporal domain by creating nodes and edges between consecutive images in order to obtain improved segmentation results and compensate for the high levels of noise in the Terahertz images. The foreground and...
Despite advances in fingerprint matching, partial/incomplete/fragmentary fingerprint recognition remains a challenging task. While miniaturization of fingerprint scanners limits the capture of only part of the fingerprint, there is also special interest in processing latent fingerprints which are likely to be partial and of low quality. Partial fingerprints do not include all the structures available...
The shape analysis of otoliths, which are calcified structures in the inner ear of teleostean fishes, is known to be particularly relevant to address species identification and stock discrimination. Generally, scientists use classical methodologies of statistical analysis and shape recognition such as Fourier shape descriptors and Principal Component Analysis (PCA). These methods are subject to several...
Scene text recognition has attracted much attention in the research community. Many proposed scene text recognition methods adopt a step-by-step procedure, which includes a text extraction phase and a recognition phase. In this study, in order to eliminate the risk of text extraction error, we try to build a scene text recognition system that does not involve the text extraction phase. In our proposed...
A focal tracking system is a tracing system that tracks a special marker called a focal marker. The cameras of a focal tracking system obtain images including bokeh which is shown from the a focal marker. Finding accurate center of bokeh is important for high precision position tracking of a focal marker. However, a focal tracking system suffers from vignetting effect which makes it difficult to find...
Automatic 3D face registration is highly important for 3D face recognition, which can also be used in facial feature segmentation, facial mesh reconstruction, face synthesis and motion capture. In this paper, we propose a coarse-to-fine 3D face registration approach based on template matching of depth images and depth-based active appearance model (AAM). First we construct three multi-angle nose templates...
In this paper, we study the learning mechanisms that facilitate autonomous discovery of an effective affordance prediction structure with multiple actions of different levels of complexity. A robot can benefit from a hierarchical structure where pre-learned basic affordances are used as inputs to bootstrap learning of complex affordances. In a developmental setting, links from basic affordances to...
Gender recognition has important applications in apparel design, social security, and human-computer interaction systems. In this paper, we investigate gender-recognition technologies using 3-D human body shape. The front and side silhouettes from 459 female subjects and 107 male subjects were extracted and then modeled using normalized Elliptic Fourier descriptors. Principal Component Analysis (PCA)...
The localization of eye centers technique is used in several applications. In this paper, we combine the face shape model to eye center location method to obtaining robustness in eye center localization from a low-resolution image. We make use of shape regression approach and combine it to the eye-center localization using isophote curvature features which has shown its advantage from previous work...
In determining how Cranial Electrotherapy Stimulation(CES)can best be used as a therapeutic tool, it is important to research its stimulating effect with the administration of various CES waveform shapes and frequencies. To meet CES research needs, this paper focused on designing a CES system outputting waveforms of arbitrary shape and different frequencies. The result showed that CES researchers...
LiDAR data is a set of geo-spatially located points which contain (X, Y, Z) location and intensity data. This paper presents the extraction of a novel set of volume and texture-based features from segmented point clouds. First, the data is segmented into individual object regions using an automatic seeded region growing technique. Then, these object regions are normalized to a N × N × N voxel space,...
The role of RCS calculation tools in modern radar and EW engineering is becoming more pronounced, but the requirements and determination of CAD model accuracy are not always clear. This paper considers metrics with which to measure and compare CAD models as well as differences in RCS results arising from small and large CAD model differences.
In this paper, we propose a system of automatically classifying different types of dates from their images. Different dates have various distinguished features that can be useful to recognize a particular date. These features include color, texture, and shape. In the proposed system, a color image of a date is decomposed into its color components. Then, local texture descriptor in the form of local...
We present a new technique to infer dimensions that can be used in biometric face recognition. The methodology is centered on inferring unique dimensions from human ears which provides unique physical biometric features. The process of determining the distance is done by harvesting the real actual dimensions from 2D faces images. This is achieved by using specific point to point distances on the two...
Automatic detection of nose regions on 3D face images is highly important for 3D face registration and recognition. It can also be used in facial landmark detection which is important in facial feature segmentation, facial shape analysis, face synthesis and facial mesh reconstruction. In this paper, we propose a nose detection approach based on template matching of depth images. We have constructed...
The fractal dimension can measure the distribution of pixels' intensities. Thus, it can be used as a tool to describe the image content. Three kinds of fractal dimensions i.e. box dimension, correlation dimension and information dimension are applied in the construction of fractal features. The object recognition is accomplished according to the similarities of the fractal features. The experiments...
In this paper, we present a method to detect changes in high resolution remote sensing images based on superparsing proposed by Tighe et al. By comparing with several superpixel segmentation methods, we choose the SLIC (Simple Linear Iterative Clustering) method which can keep image boundary, produce consistent superpixels with similar size and shape, and also calculates fast. After superpixel segmentation,...
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.