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.
Non-rigid point set registration is a fundamental problem for many computer vision technologies. In this paper, we proposed a new non-rigid point set registration method based on coherent spatial mapping (CSM) and local geometrical constraint. Our central idea is to express each point as a weighted sum of several nearest neighbors and the same relation holds after the transformation. The registration...
This paper aims to provide a comprehensive reference source on depth-based human motion descriptors. Motion description is a challenging problem which became popular with recent advances in 3D computer vision. Our goal is to introduce the main trends in human 3D motion descriptor design and evaluation next to presenting a review of recent methods belonging to three application categories: action recognition,...
Comic books are considered a heritage in many countries. The colorful depiction of annotated events has gained an increasing amount of interest over the past decade as the digitization process took over printed media, in addition to the abundance and variety of available data. Several applications have been devised in the field of computer vision and natural language processing to handle comic book...
Key markets, such as automotive, wearables, and internet-of-things (IoT) are spearheading the drive to realize more sophisticated packaging technologies that include the growing use of interposers and 3D ICs. With the goal of improving processing performance, increasing clock speeds, and reducing power consumption, design teams are challenged with ensuring signal quality, power delivery, and thermal...
In this paper we discuss about the implementation of Active Shape Model based contour detection algorithm on the digital x-rays of lungs. The effect of considering the mean values while forming the gray level profiles is shown and a modified method where median values improve the result is also presented.
In this paper, a novel logo recognition algorithm based on a set of invariant features, which are calculated by using Radon transform and complex moments is proposed. This set of features is invariant to Rotation, Scaling, and Translation (RST) and it is also robust to additive noise. Radon transform is powerful tool for rotation, scaling, and translation properties which make it useful for our purpose...
Recently, there are increasing interests in inferring mirco-expression from facial image sequences. For micro-expression recognition, feature extraction is an important critical issue. In this paper, we proposes a novel framework based on a new spatiotemporal facial representation to analyze micro-expressions with subtle facial movement. Firstly, an integral projection method based on difference images...
Presently, face detection has become an important aspect in biometric identification systems. Among many other facial features like position of nose, lips, eye, face contour acts as an important classifier in face detection. It requires huge memory space to store reference images of face in face recognition. Thus memory space can be optimized if the contour of a face is stored instead of complete...
We present a novel approach to recovering the qualitative 3-D part structure from a single 2-D image. We do not assume any knowledge of the objects contained in the scene, but rather assume that they are composed from a user-defined vocabulary of qualitative 3-D volumetric part categories input to the system. Given a set of 2-D part hypotheses recovered from an image, representing projections of the...
Supervised Descent Method (SDM) has proven successful in many computer vision applications such as face alignment, tracking and camera calibration. Recent studies which used SDM, achieved state of the-art performance on facial landmark localization in depth images [4]. In this study, we propose to use ridge regression instead of least squares regression for learning the SDM, and to change feature...
Extraction of discriminate features which could represent the facial expression accurately plays a vital role in effective Facial Expression Recognition (FER). Although much progress has been made, selecting the discriminate features is still a challenging and interesting problem in the FER system. In this paper, we propose a new FER method, which uses the active shape mode (ASM) algorithm to landmark...
Most current three-dimensional reconstruction methods often require at least two or more input images to reconstruct the shape of the object. Traditionally, it is hard to reconstruct the 3D shape only from one single input image. In this paper, we propose an effective method to reconstruct the 3D texture surface from a single input image for the texture with similar appearances and reflectance properties...
There have been tremendous improvements of the face alignment algorithms, among which the regression framework becomes the most popular one recently. The regression based works start from an initial face shape, and they learn regression models to predict the face shape updates based on the shape-indexed local appearance features. However, most of the regression methods ignore the fact that the regression...
Lost image areas with different size and arbitrary shape can occur in many scenarios such as error-prone communication, depth-based image rendering or motion compensated wavelet lifting. The goal of image reconstruction is to restore these lost image areas as close to the original as possible. Frequency selective extrapolation is a block-based method for efficiently reconstructing lost areas in images...
A novel active appearance model (AAM) search algorithm based on partial least squares (PLS) regression is proposed. PLS models the relationship between independent (texture residuals) and dependent (error in the model parameters) variables in the training phase by extracting from independent and dependent variables a set of orthogonal factors called latent variables respectively which have the maximum...
In this paper, we address the problem of shape part recognition. For this purpose, we define a robust distance between shape parts based on geodesics in the shape space. The proposed distance uses an elastic shape matching to handle elastic deformations and compare shape parts locally. This distance is applied to shape part classification and shape part retrieval. An experimental study through the...
Shape outliers can seriously affect the statistical analysis of the shape variations usually performed by the Principal Component Analysis PCA. This paper presents an algorithm for outliers detection and shape restoration as a new strategy for robust statistical shape analysis. The proposed framework is founded on an elastic metric in the shape space to cope with the nonlinear shape variability. The...
Local ordinal signal relations, such as local binary or ternary patterns (LBP/LTPs) are invariant to frequent in practice spatially variant contrast/offset deviations that preserve image appearance. Our prior work extended this conventional LBP/LTP-based classifiers towards learning, rather than pre-scribing characteristic shapes, sizes, and numbers of such patterns. The learned LTPs showed more accurate...
In this paper we address the challenge of performing face recognition on human faces that are wearing glasses. This is a common problem for face recognition and automatic identity checking at airports, as passengers frequently forget to remove their glasses when passing through customs. In order to solve this problem, we first propose an automatic glasses presence detection model based on the tree-pictorial-structured...
Shape reconstruction of an object from a two-dimensional image is an ill-posed problem in its nature where additional information is needed. Lately, researchers suggested an approach that a reference shape of similar objects is to be used during the reconstruction. This method introduces a promising alternative to regular shape from shading algorithms. Moreover, in face reconstruction problems, spherical...
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.